{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pylab as plt\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (10, 6)\n",
    "import seaborn as sb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def model_index(file_name):\n",
    "    return int(file_name.split('_')[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def read_leaderboard(file_name, scale=False):\n",
    "    result = []\n",
    "    with open(file_name, \"rt\", encoding='utf-8') as fd:\n",
    "        started = False\n",
    "        for l in fd:\n",
    "            l = l.strip()\n",
    "            if not started:\n",
    "                if l.startswith(\"Leaderboard\"):\n",
    "                    started = True\n",
    "                continue\n",
    "            name, rest = l.split(':')\n",
    "            wld = map(str.strip, rest.split(','))\n",
    "            win, lose, draw = map(lambda s: int(s.split('=')[1]), wld)\n",
    "            # models from the last round played 40% more games, so score need to be compensated\n",
    "            if scale:\n",
    "                win = int(win / 1.4)\n",
    "                lose = int(lose / 1.4)\n",
    "                draw = int(draw / 1.4)\n",
    "            result.append((os.path.basename(name), win, lose, draw))\n",
    "    return result       "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Semi-final analisys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "full_data = []\n",
    "for round in range(10):\n",
    "    full_data.extend(read_leaderboard(\"semi-%d.txt\" % round, scale=round==9))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('best_105_62400.dat', 1244, 895, 2),\n",
       " ('best_091_51000.dat', 1213, 928, 0),\n",
       " ('best_104_61500.dat', 1157, 983, 2),\n",
       " ('best_097_57800.dat', 1147, 995, 0),\n",
       " ('best_095_54400.dat', 1132, 1009, 0),\n",
       " ('best_090_50100.dat', 1128, 1012, 1),\n",
       " ('best_103_60800.dat', 1120, 1021, 0),\n",
       " ('best_099_58700.dat', 1097, 1044, 0),\n",
       " ('best_096_57700.dat', 1088, 1051, 2),\n",
       " ('best_102_60600.dat', 1065, 1076, 1)]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "full_data.sort(key=lambda p: p[1], reverse=True)\n",
    "full_data[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "full_pairs = list(map(lambda p: (model_index(p[0]), p[1]), full_data))\n",
    "full_pairs.sort(key=lambda p: p[0])\n",
    "indices, wins = zip(*full_pairs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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oN8lDo5G2Hpe1yAk8R1X0yxBWYHfKygCGB3QDPzlrhOizdeTgnTwkWbGN4jIR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\nvFh4wfhRdxQY9Fr87NZ5SX0f8ZAlakFSDfDRDWc++1c3+oZ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m6OOrVLR9tlab5V7yQDhN\n/9Xh4OE3hQ7wXINPDUcoy/yBALr6U+sipyTS3gGo7xdYPD3HW4MHgGvmNeLmxU15va50WWMU2jmK\ndA0+V5RZqlzXXYgU/f/7ogOBAHDl7Amjvl+5Bs8UfXzKMwSaorrPiUK7Ez02AIV/8FUGeKboE+MI\nZZm8RS6N9DwQOStW2y+wspsTMPa7rVmijlsFirfILlcsilMIs9n2N5baChN0Wgn+QAAmgxYXnWMd\n9f2sok9OqUknn7chCuyE6AxJoYtnuQ8+NRyhLMtkixwQOSvWa9X141FWsGo1EnQqu75UyR3RYqXo\nVb7NTy2UAT7XY6bRSPLf1SXn1cvdF+NRBiPug49PkiR5Ft/UWB3xMVFoJxT670JZZMc1+MTG9h1a\nhTr7098iByDipqW2J1RleizW+vtYU1thDJ6nrjjshjP41Igjf3VaKS8Zp4a64PG1oxXXCSKjYNBp\niuL3NZdmTqvDBVNrUVtpGvGxyaEDksT5/oXEbXKp4V0sy+QtcmnO4JVpb7U9oSqfnmOtv481Wo0G\ntZXGEUV2Wk1+glUxEHUMpab8nPW+4sqpWDhj/KjFdUJZ6LhknkOf2Opr4tfNTKovR/u3pwuenge4\nBp+qvAZ4m82GDRs2YGBgAB6PB+vWrcO0adNwzz33wOfzwWKx4KmnnoLBYMDu3buxfft2aDQarFix\nAsuXL8/npaYtnKLPfA1ebU+oyvWvYpkRWavM+PJwH5xuL0wGHezOYC94BoTkiJR5vlK3dVXmpLsP\n6nVaVJcb0zqPgsImh06xK3SBHRCVoter6/6oRnn9ib3zzjuYMmUK1q9fj87OTtxyyy2YPXs2Vq5c\niWuvvRbPPPMMmpubsWzZMmzduhXNzc3Q6/W46aabsHjxYlRVVSX+JgXW1e+A2ahNu2pXOYNX2xNq\nRIq+CGbwAGCpLgEO96Gn34kzrGXBXvAquJGNFZVlBlSXGzG+tjTxmwvg/66aA32RPIwWimjbW+j1\ndyCqyG6M1wDlQ15HqLq6Gv39wWYGg4ODqK6uRmtrK66++moAwKJFi9DS0oL29nbMmDED5eXlMJlM\nmDNnDtra2vJ5qWkRXeSsVal1kVNS8wxeuf5lKpKbplhDFml6R5H1gs81jSThgVvn4bal5xT6UmKq\nqzKPaCVLqakqM+LGK87EtRdPKvSlRKboi+QelEt5jSBLly7FyZMnsXjxYqxevRobNmyAw+GAwRD8\nA6ytrUV3dzd6enpQU1Mjf15NTQ26u7vzealpSbeLnFLkGrzKAnyRrcED4TXkrj4HfH4/XB5fUbWK\nzYeKUgMfiorc0vmTMeusukJfRuQEiDP4hPL6V/nuu++ioaEBr7zyCvbv34+NGzdGfFx5Jngyr0er\nri6BLsuFaRZL8i02Tw0Eq7EnT6hK6fOUxg2Hj02tqjSn/XVyIaANj21FmXHUa1PTdY+myRPc0z/s\n8qKkLBjsqypMBbv+sTJuasNxS89YGzenP/zf4+srIk7hy6exMm55DfBtbW1YuHAhAGD69Ono6uqC\n2WyG0+mEyWRCZ2cnrFYrrFYrenp65M/r6urCrFmzEn79vj57wvekwmIpR3f3UNLv//rQaQBAuVGb\n0ucpOe3hAO92edP+OrkwpLg2BAJxry3VcSskrT94xzh6ahDHTgaXj7QSCnL9Y2nc1ITjlp6xOG62\nofCW1sEBO9wO9yjvzg21jdtoDxt5zXFMmjQJ7e3tAIATJ06gtLQUCxYswJ49ewAAH3zwAS677DLM\nnDkTe/fuxeDgIGw2G9ra2jB37tx8XmpaRJvYdCvogcjUt9qK7IyK7EixrMGbjTqUl+jR1e9gJzki\nleM++NTk9U528803Y+PGjVi9ejW8Xi8efPBBTJ06FRs2bMCuXbvQ0NCAZcuWQa/XY/369bjtttsg\nSRLWrVuH8nL1p0S65ACf/rYck4qL7JTbUoplDR4IrsMf7hjCsGiJyQBPpEqisE6rkWK2FKZIeb2T\nlZaW4rnnnhvx+quvvjritSVLlmDJkiX5uKys6eyzw2TQZnQsplHFRXYaKXg8rdfnL5p98EDwyNpv\nTw7iRHewoQZn8ETqJO6JOpXdG9WKo5Ql/kAA3X3pd5ETDDoNxGerLcAD4X2oxTSDt1QGl1SOdgbX\n1TiDJ1InjSTBoNeobvlSrThKWTIw7Ibb60/7iFpBkiQ5eBpUdlQtEE6RFdMMXtRMHAkFeM7gidTL\noNOqcvKjRryTZUmmR9QqGQ1aON0+Vf4Siyfnsd4qVkl0RDvVE/wZmlVwYhcRxXZ2Y5Uq741qxDtZ\nlnT1Z9ZkRsmk12IA6kzRF+MMXgR4f+i8BaboidRr3ffPZ6+IJKkvgoxR2ZzBi5ax6gzwoTX4Igrw\nVWWGiDU9Bngi9WJwT576IsgYFW4Tm50UPaDSAB+qCyimIjtJkuRZPMA1eCIqDuqLIGNUZ58dRoMW\nFVlobGFScZGdmLkX0xo8AAZ4Iio6DPBZEAh1kRtXldkWOaGhrhRlZj3KzOoLNCKwi2WEYiECvE6r\nUWXmhIgoVcV1ly6Q/tAWOWtN5gV2ALD8yqlYtnAK9CqcwS+5eCKmNFSgurwwTR5yRdROqKHnNRFR\nNvBulgX7DgabzEwaV5aVrydJkmp7HU8cV46J49R/bHCqRF94pueJqFgwF5kFH+3rAABcfM64Al8J\npUuk6EvYC56IigQDfIZ6Bhz417F+nN1YhbqqzCvoqTDqKs0oNekiiu2IiMYy5iMz1PJlJwDg0vPr\nC3wllAm9ToMHbp3HU+yIqGjwbpaBQCCAln0d0Os0mNtkLfTlUIaYgSGiYsIUfQYOdwyho9eO2WfV\nsfqaiIhUhQE+Ax/tDRbXMT1PRERqwwCfJq/Pj9avOlFRosd5U2oKfTlEREQRGODTtPfgaQw7PLj4\n3HpoNRxGIiJSF0amNLXsY3qeiIjUiwE+DU63F58f6MGEulJMzNLpdURERNnEAJ+GY13D8PoCOG9K\nDXsTExGRKjHAp+Fo5zAAcPZORESqxQCfhmNdQwCAidbia7pCRETFgQE+Dce6hqHTSqivzU57WCIi\nomxjgE+Rz+/H8W4bGupKodNy+IiISJ0YoVLU0euAx+tnep6IiFSNAT5FxzqD6++NLLAjIiIVY4BP\n0bGuUAW9lQGeiIjUiwE+RUdDAb6RAZ6IiFSMAT4FgUAARzuHUFdpQolJX+jLISIiiosBPgUDNjeG\n7B7O3omISPUY4FNwjOl5IiIaIxjgU3A0VEE/cRy3yBERkboxwKeAFfRERDRWMMCn4GjnMMxGHWor\nTYW+FCIiolExwCfJ5fahs9eORmsZW8QSEZHqMcAn6XjPMAJgep6IiMYGBvgkHQv1gOcRtURENBbo\n8vnN3nzzTezevVv+9759+/Dee+/hnnvugc/ng8ViwVNPPQWDwYDdu3dj+/bt0Gg0WLFiBZYvX57P\nSx3hqFxgxwp6IiJSv7wG+OXLl8uB+pNPPsH777+PLVu2YOXKlbj22mvxzDPPoLm5GcuWLcPWrVvR\n3NwMvV6Pm266CYsXL0ZVVVU+LzfCsa4haDUSGupKC3YNREREySpYin7r1q1Yu3YtWltbcfXVVwMA\nFi1ahJaWFrS3t2PGjBkoLy+HyWTCnDlz0NbWVqhLhd8fwPEuG+prS6DXcVWDiIjUL68zeOGLL77A\n+PHjYbFY4HA4YDAYAAC1tbXo7u5GT08Pampq5PfX1NSgu7s74detri6BTqfN6rVaLOU42jEIl8eH\npkk1sFiYok8Gxyk9HLf0cNzSw3FLz1gZt4IE+ObmZnz/+98f8XogEIj5/nivR+vrs2d0XdEslnJ0\ndw/hH191AADqq0zo7h7K6vcoRmLcKDUct/Rw3NLDcUuP2sZttIeNguSbW1tbMXv2bABASUkJnE4n\nAKCzsxNWqxVWqxU9PT3y+7u6umC1WgtxqQCAwx3BH+bk+oqCXQMREVEq8h7gOzs7UVpaKqflL730\nUuzZswcA8MEHH+Cyyy7DzJkzsXfvXgwODsJms6GtrQ1z587N96XKjnQMQZK4RY6IiMaOvKfou7u7\nI9bX77zzTmzYsAG7du1CQ0MDli1bBr1ej/Xr1+O2226DJElYt24dyssLs+bh9wdwtHMYDXWlMOqz\nu75PRESUK3kP8Oeffz62bdsm/9tqteLVV18d8b4lS5ZgyZIl+by0mE712uHy+DCZHeSIiGgM4Z6v\nBI50DAIAJtUzwBMR0djBAJ8AC+yIiGgsYoBPgAV2REQ0FjHAj8LHAjsiIhqjGOBHcaJriAV2REQ0\nJjHAj+LA8QEALLAjIqKxhwF+FN8e7wcATB7PAjsiIhpbGOBHceB4f7DAzsoCOyIiGlsY4OPw+wM4\neGKABXZERDQmMcDHcarXDqebBXZERDQ2McDHwRPsiIhoLGOAj0M+wY4FdkRENAYxwMdxpGMIGhbY\nERHRGMUAH4dRr8UFZ1lYYEdERGNS3tvFjhV3Lb8A46wV6OkZLvSlEBERpYwz+Di0Gg0kSSr0ZRAR\nEaWFAZ6IiKgIMcATEREVIQZ4IiKiIsQAT0REVIQY4ImIiIoQAzwREVERYoAnIiIqQgzwRERERYgB\nnoiIqAgxwBMRERUhBngiIqIiJAUCgUChL4KIiIiyizN4IiKiIsQAT0REVIQY4ImIiIoQAzwREVER\nYoAnIiIqQgzwRERERUhX6AtQq8ceewzt7e2QJAkbN27EBRdcUOhLUq0nn3wSn332GbxeL37yk59g\nxowZuOeee+Dz+WCxWPDUU0/BYDAU+jJVyel04rrrrsPatWsxf/58jlsSdu/ejW3btkGn0+GnP/0p\nmpqaOG4J2Gw2bNiwAQMDA/B4PFi3bh2mTZvGcYvj66+/xtq1a3Hrrbdi9erVOHXqVMyx2r17N7Zv\n3w6NRoMVK1Zg+fLlhb70CJzBx/DJJ5/gyJEj2LVrFzZt2oRNmzYV+pJU6+OPP8Y333yDXbt2Ydu2\nbXjsscewZcsWrFy5Eq+//jomTZqE5ubmQl+mav3yl79EZWUlAHDcktDX14etW7fi9ddfx4svvoi/\n/OUvHLckvPPOO5gyZQp27NiB5557Dps2beK4xWG32/HII49g/vz58muxxsput2Pr1q147bXXsGPH\nDmzfvh39/f0FvPKRGOBjaGlpwfe+9z0AwNSpUzEwMIDh4eECX5U6zZs3D8899xwAoKKiAg6HA62t\nrbj66qsBAIsWLUJLS0shL1G1vv32Wxw4cABXXnklAHDcktDS0oL58+ejrKwMVqsVjzzyCMctCdXV\n1XLwGRwcRHV1NcctDoPBgJdffhlWq1V+LdZYtbe3Y8aMGSgvL4fJZMKcOXPQ1tZWqMuOiQE+hp6e\nHlRXV8v/rqmpQXd3dwGvSL20Wi1KSkoAAM3Nzbj88svhcDjkVF9tbS3HLo7Nmzfj3nvvlf/NcUvs\n+PHjcDqduP3227Fy5Uq0tLRw3JKwdOlSnDx5EosXL8bq1auxYcMGjlscOp0OJpMp4rVYY9XT04Oa\nmhr5PWqME1yDTwJP803sz3/+M5qbm/GrX/0K11xzjfw6xy623//+95g1axYaGxtjfpzjFl9/fz9e\neOEFnDx5Ej/4wQ8ixorjFtu7776LhoYGvPLKK9i/fz82btwY8XGOW/LijZUax5ABPgar1Yqenh75\n311dXbBYLAW8InX7+9//jhdffBHbtm1DeXk5SkpK4HQ6YTKZ0NnZGZHqoqAPP/wQx44dw4cffoiO\njg4YDAaOWxJqa2sxe/Zs6HQ6TJw4EaWlpdBqtRy3BNra2rBw4UIAwPTp09HV1QWz2cxxS1Ksv81Y\ncWLWrFkFvMqRmKKPYcGCBdizZw8A4Msvv4TVakVZWVmBr0qdhoaG8OSTT+Kll15CVVUVAODSSy+V\nx++DDz7AZZddVshLVKVnn30Wb731Fn73u99h+fLlWLt2LcctCQsXLsTHH38Mv9+Pvr4+2O12jlsS\nJk2ahPb2dgDAiRMnUFpaGnGf47iNLtbv2MyZM7F3714MDg7CZrOhra0Nc+fOLfCVRmI3uTiefvpp\nfPrpp5AkCQ888ACmT59e6EtSpV27duH555/HlClT5NeeeOIJ3HfffXC5XGhoaMDjjz8OvV5fwKtU\nt+effx4TJkzAwoULsWHDBo5bAm+88YZc8X3HHXdgxowZHLcEbDYbNm7ciNOnT8Pr9eKuu+7C1KlT\nOW4x7Nu3D5s3b8aJEyeg0+kwbtw4PP3007j33ntHjNUf//hHvPLKK5AkCatXr8b1119f6MuPwABP\nRERUhJiiJyIiKkIM8EREREWIAZ6IiKgIMcATEREVIQZ4IiKiIsQAT1REjh8/jqamJuzcuTPi9U8/\n/RRNTU1obW1N+mu9+eabEUfpxrJmzRp89NFHEa999dVXeOSRR5L+Pl6vF01NTUm/n4iSwwBPVGQm\nT56Mt99+O+K1t99+O+Ksglw655xzcP/99+flexFRfDyqlqjIWK1WuFwufPPNNzjrrLPgcDjw2Wef\nYebMmfJ7mpub8cYbb8BsNqO2thaPPvooysrK8Nvf/hY7d+5EfX19xNGl+/fvx+bNm+H1euHxePCz\nn/0M5557bszv39raimeffRY7d+7EmjVrMH/+fPzjH//A4cOHceedd+L666/HwYMHcffdd8NsNuPi\niy+WP9ftduPhhx/GkSNHYLPZcN111+FHP/oRHn30UdTW1uKOO+5Aa2srfv7zn2Pnzp3QarW5G0ii\nMY4zeKIidMMNN+Ctt94CAOzZsweXX345NJrgn/vJkyfx/PPPy32sx48fj9deew1DQ0PYsmULduzY\ngW3btqGvr0/+enfffTceeugh7NixAw8++CDuu+++pK/Fbrfj5ZdfxqZNm7Bt2zYAwNatW3HjjTfi\nN7/5TUR6/te//jWsVit27NiBN998E3/4wx+wf/9+rF+/Hu+99x6+/fZbPP7443jiiScY3IkSYIAn\nKkLXXnst3n//fXi9XrzzzjsRR2j+85//xHnnnSf3V7jooouwd+9eHDlyBBMmTJBbJYuZ9enTp3Ho\n0CH813/9F9asWYNNmzZheHgYfr8/qWu56KKLAAANDQ0YGBgAAHz99de48MILAQCXXHKJ/N7W1lb8\n6U9/wpo1a3DrrbfC7Xbj6NGjMJvNePDBB7Fy5UosW7YMZ555ZoYjRFT8mKInKkI1NTU499xz0dzc\njO7ubsyYMSPuewOBACRJkv9XEAHcYDBAr9djx44daV2LThe+zYiTsQOBgJxR8Pl88scNBgPWrVuH\nJUuWjPg6PT09qKiowMmTJ9O6DqLvGs7giYrUDTfcgF/84hdYunRpxOvnn38+vvzySwwPDwMAPvro\nI8ycORMTJ07E8ePHMTg4iEAggJaWFgBAeXk5zjjjDPz1r38FABw6dAgvvPBCRtc2depUfP755wAg\nfx8AuPDCC/H+++8DCD5gPP744+jv70dvby+2bNmCXbt2Ye/evfjkk08y+v5E3wUM8ERF6qqrrkIg\nEBjR4aq+vh533XUXfvjDH2LVqlXo6+vDLbfcgsrKStx+++1YtWoV7rjjDkyYMEH+nM2bN+Oll17C\nqlWrcO+992LBggUZXdu6devw+uuv47bbbsPBgwflWf6qVatQUlKCm2++GStWrEB5eTmqqqrw0EMP\n4cc//jFqamrw8MMP4/7775cfUIgoNnaTIyIiKkKcwRMRERUhBngiIqIixABPRERUhBjgiYiIihAD\nPBERURFigCciIipCDPBERERFiAGeiIioCP1/HwbZCw+TRkYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f26e11ac470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(wins)\n",
    "plt.xlabel(\"Model index\")\n",
    "plt.ylabel(\"Score gained\")\n",
    "plt.savefig(\"semi-common.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def group_index(idx):\n",
    "    if idx >= 100:\n",
    "        return 9, idx - 90\n",
    "    return idx // 10, idx % 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "groups = list(map(group_index, indices))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data = [[] for _ in range(10)]\n",
    "for g, w in zip(groups, wins):\n",
    "    data[g[0]].append(w)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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XHOITXbCEhSkhJZSE1FB6O0dpqTd7O5w5zZda97mIBC+4VGqWEa2fkrqKXuw2\nh7fDEa7hck/3OjORsUHc93AOCoU4LQjus2pdKgqFjDNHmn22rPaLte7JGWEUrfPdWve5iE+y4FJK\nlYKs/Gis03aa60zeDkeYgyRJnD32aU/3iE97uvt42Y8w/wUZ/ChYHs/UxCwlxZ3eDueKzp/4tNY9\nRs+6B7Pm7eMqkeAFl8spjEYmg6oSUTLny8rOdlJ+rovgED8eeHQRGq3S2yEJt4nClfEE6DVUnOvy\nuS2ua8t7KS3+tNZ9q+/Xus9FJHjB5QKDtCSmhTE4MMlA77i3wxGu4Is93TeLnu6Ch6lUCoruScXp\nlDj1se8suJuPte5zEQlecIvcxZ+WzJWIkjlf01jdf6mnu7/o6S54T3JGGLGJBrpah2lvHvJ2OPO2\n1n0uIsELbhGTEIwhTEdLvRnL5Iy3wxE+1dY0yJGP6lFrlGwWPd0FL5LJZNy5PhW5XMbpj5u9uih3\nPte6z0UkeMEtPiuZczolasv7vB2OALQ2mjn8WU/3R/MINYqe7oJ3GcL8yVsaw8SYlfLzXV6JYcZq\n46O3P611Xz//at3nIhK84DYZuRGoNQpqyntxOJzeDue2Zu6f4K2XLyAB92/NXTB3KML8t3RVIjp/\nNaXFnYyPTnv02Jdr3YcsLFoWu+D6LogEL7iNSq0kIy8Sy+QsbY2D3g7ntlZypgPbrIP1m7OITRQ9\n3QXfodYoWbk2GYfdyZkjLR47riRJHN33hVp3H+7rfrNEghfc6rPFdlVisZ3XWKdtdDQPERGlJyXT\n6O1wBOFr0nIiiIwNoq1xkK62YY8c8/yJNppqTUTO81r3uYgEfxUne4r5sP5jnynfmK+CQ3TEJYfQ\n3z3G4MCEt8O5LTXXmXA6pQU3/SgsHDKZjNUbUpHJ4NThJrc/0vtirfvGeV7rPheR4K+i3FTNaxXv\n8n7LRyLJ36I8cRfvVQ3V/chkn8+mCIIvCosIJLswmtHhaaoudrvtOJdr3XUqHnh00byvdZ+LSPBX\n8XT248QERvJJ5wk+aNkvkvwtiEsOQR+spanWhHXa5u1wbisjQxZMvRPEJoUQKOrdBR93x+oktH5K\nLp7uYGrC9eW1n9W6KxRyNj2SR5DBz+XH8CUiwV9FkCaQ/2ft32LUhXG48xgfth4USf4myeWXSuYc\ndid1laJkzpMaa/qBSxUNgnAlkiQxaJ3F6QPnN62fiuVrkrHNOig+5toFd+Oj05/Xuj+URUS03qXv\n74tEgp+faQs2AAAgAElEQVSDwS+IHxU+R7hfKAc7jvBR2yFvhzRvZS6KRKmSU1Pai9Pp/RPJ7UCS\nJBqrB1CpFSSmhXk7HMEHSZLEge4hflXVweEe7+8mB5C5KIrwyECaakz0do5+7euSJNHdPsz+d6uo\nvHh9tfMzVhv7dlVhmZrlzvWpJKUvnFr3uYgEfw3BmktJPswvlP3tn/BR22FvhzQvabQq0nMimBiz\n0tHiGyeSha63c5TJ8RlSMsNFlzjha5ySxO4OEyf7RwAoHhjFYvd+i2e5XMbqe9OASwvunM7PF9z1\ndo7ywevlfPhmJe1NQ+x+o5wLJ9vmnF112J0ceLeakSEL+ctiybuNFpuKBH8dDNpg/rbwOUK1Iexr\nO8z+tk+8HdK8JPan96zG6gEAMnIjvRyJ4GvsTom3Wvu5YB4nWqfh7igDs06J4oGv3zF7Q0S0nsy8\nSIbMU9SW9dHfM8aHb1bwwevl9HWNkZASwsZv5hAcouPi6Q6O7Wu44sp7SZI4sq+e3q4xkjPCWLkA\na93nIvpDXieDNpgfFT7Hv5b9J3vbDiKXybgv8R5vhzWvhBoDiI4Lort9hJGhKQyh/t4OacGy2Ry0\nNJgJDNISFSd2rRM+N+tw8npLH41jFhIDtDydFo1MJuO8eYwzA6PcGWlAo/D+vd/yu5NpqTdz6pNm\npE8f68UmGli2OvHyTozZi2J47T/PUF/Vz9TkDPduyUGt+TytnTvRRvMCr3Wfi/f/F+eRUD8DPyp8\nDoMmmD2tBzjccczbIc07uUs+u4vv9XIkC1tb4yC2WQfpORG33UlNuDqr3cErjT00jllID9LxTHoM\nWqUCjUJOUUQw0w4n581j3g6TIdMkxw80YLM5kJwSOn8V33iygM2P52M06hg7eZyuX/ycwffeZvPD\nGcSnhNDVNsIHr5cz9Wlzq5qyXspug1r3uYg7+BsU6hfC3y5+jn8p/R27W/Yhk8lYH7/G22HNG4lp\nYfgHqmmo7mf5mqQvXW0LrtNYfWn1fLpYPS98atJm55XGXnotM+SFBLAtKRKl/POLv5XGYE70jXCq\nf4QVxiBUcs/f/w0PTnHxVDst9WYAIqIDsUzZmBizIpudYXjfXkY+OYxj7NJFSE99HYqPj7Bqy1b8\n/SOpq+znvT+XsnhlPCcPNd0Wte5zUbz44osvejsIV7FYZl36fv7+miu+p06lIy8sm3JzNeXmKvwU\nGpKCElx67IVKLpdhtzvpah3GP1BNRLT+quMs3JzJiRlOHW4iIkZP4Yr4y6+LcfYcXxvr0Rkbf2jo\nYWB6lmXherYmRaCQf3lmRyWXM+1w0jRuIUitItbfc/smjA5bOPVxEycONjEyaCE8MpC1mzJYviYZ\ng5+TpsZRessaCD63G5lMRvC69UR++zvoo8IZq6xiqrSEsKkuwrJSaO2109EyjEIhY/Pj+Qu+a6K/\nv+aqX3PrJVpjYyPr169n586dAPT19fHUU0/xxBNP8KMf/YjZ2UsfgD179rB161a2bdvGrl27ALDZ\nbLzwwgts376dHTt20NXlnVaCVxOuC+VHhd8jSK3n3ea9HO065e2Q5o2s/CjkChnVJT1ibwE3aKod\nQJJE7btwyaB1lt/XdzNotXFXpIEtCUbkV3lssyoiGKVMxon+YRwe+GyOj05z9KN63nzpPE01JkKN\n/mzcmsvW/7IYo3KS/j/8Duuv/xsRE62Ma0KZWLudpP/5K8K3PY46IpK4Rx8h8Z9/RuCKlcx0diA7\n9DZqbCBJOCWJiTGr238HX+a2BG+xWPjpT3/KypUrL7/261//mieeeILXX3+dhIQE3nnnHSwWC7/5\nzW945ZVXeO2113j11VcZHR1l79696PV63njjDb7//e/zy1/+0l2h3jSjLpwfFX4PvTqQd5r2cLz7\njLdDmhd0/mpSM42MDk/T3T7i7XAWFEmSaKjqR66QicYyAn2WGX5X183orJ37YkPZGBc255oMvVrJ\nkjA9IzN2qobd1ztictzK8QMNvPH789RX9RMcquPeLdk88swSjLP99PzqF3T+958wce4s6qhoVq5L\nQ6mSUzUUgF2u+tJ7qUJCiPrOcxhf+D+pTLifWVSkD18kZbiCT96vpOJ81217I+G2BK9Wq3nppZcw\nGj8/yZw7d45169YBsHbtWoqLi6moqCAvL4/AwEC0Wi2LFy+mtLSU4uJiNmzYAEBRURGlpaXuCvWW\nRPgb+VHhcwSqA3i7cTcne4q9HdK88PliO1Ey50qDA5OMDFpITA1F66e69g8IC1bHxDQv1XdjsTt4\nKCGcNVHX1yZ4dZQBOXCsb8Tlu9tNTV56fPSX352jtryPwCAt6zZnse3pQsJHmun66U/o+f9/gaWu\nBr/MLGJ+9F9JePGnRN2zmqWrErFabFw42f6193XYnRwvnWJS5k9WrJxEZw8Jg2UUdb1PyweHOX24\n6bbcYMttK5yUSiVK5Zfffnp6GrX60mKH0NBQzGYzg4ODhIR8/ocXEhLytdflcjkymYzZ2dnLP+9L\nIj9N8v9a+jvebHgfGTLujFnh7bB8WkS0HmNUIO3NQ4wMWbwdzoLxWe17uqh9v601jU2xs7kPh1Ni\nW3IEBaHXvy1riEZFfmggZUMTNIxOkWW49WfYlqlZys91Ul3ai8PuJDBIy9JVCaSm6pk4dZKOVw9h\nHx4GmYzAZXdguG8T2sTEL73HoqWx1FX2UV3aQ1Z+1OVn61+udQ9nzZZspEfuYHjfXoYPHSB34ASj\ne+o51n0vdz219rZaTe+1JcxXmzK50de/yGDQoVS69j8vPDzwur/vJ8F/y3879i+80fAeQXod9ySv\ncmksC03R3SnsfqOci2fa2bA529vhzHsOh5OWehM6fzVLlieguEIt8/X+PQu3zltjXdI3wp+b+pDJ\n4K+WJJMfEXzD77FFq6TsZB2nzGOsTou86VLLacssZ462cP5UG7ZZB/pgLavXp5Od6s/Avv10/PEQ\njikLco2GqAc2Ef2NB9FGXH3tyANbF/H6S+c4e6yV//JXRQBUXeihudZEXKKBx7+17HICj3juW1i/\ncT8tf3wVzp8n6MxOytrKWPV/PU9QrOfXp0hOB8P95fgHxaH198zjM48meJ1Oh9VqRavVMjAwgNFo\nxGg0Mjg4ePl7TCYTBQUFGI1GzGYzmZmZ2Gw2JEm65t37yIhr7wTDwwMxm6//OZQfev4m/7v8a9nv\n+N2FvzA5OcvKqKUujWkhMcbo0epUlJ3rJGdJtNhO9RZ1NA8xNTlL3pIYhoenvvb1G/17Fm6et8a6\nxDzGe+0mVHIZT6dFEy1X3FQcKiA72J/a0SnOtZpI0etu6OdnrDYqLnRTeaEb26wDXYCaFWuSSQl3\nMvbJ+5T+rzPgcKAI1BO65ZsE330PioAAJoCJOeINCvUjMS2U9qYhik+0oFYpOX2kmSCDH+u/kc3I\n6FdygMIf4/f+Ct2qNbT/4RWC+mqo+JsfEbTxASI3P4Bc5ZnHWDbrEEOdHzA71U1A+B2ExG502XvP\ndSHp0ULHoqIiDh48CMChQ4dYvXo1+fn5VFVVMT4+ztTUFKWlpSxdupRVq1Zx4MABAI4ePcry5cs9\nGepNiwmI4ocF30On9OMvdbs411fi7ZB8lkIpJ7sgCuu0jaaaAW+HM+81fFr7npEnpudvR6f7R3i3\n3YRWIec7GbEk32BS/qq7P31mf6xv+Lp/ZnbGTsmZDnb+9hwlpztQKuUUrU3mm2uDMJx6i67//n8z\nfvokqrBwjE8/Q9L//AWhDz6EIuD6HwOsWpeKQiHj5KEm9r9XdbnWfa41JwE5OWT/r/+PqTs24UDO\n5L7dtP7TPzJZVuLWBXiSJDFhvkB/w++ZnepGF5xDUKTn9k1x2x18dXU1P//5z+np6UGpVHLw4EF+\n8Ytf8A//8A+89dZbREdHs2XLFlQqFS+88ALPPvssMpmM559/nsDAQDZt2sSZM2fYvn07arWan/3s\nZ+4K1eViA6P5m8Lv8uuy3/Na3dvIZDLuiFzs7bB8kiFdjuwsVF7sJis/Suy6dpNmrDbamwYxhOkI\ni1jYdb/Cl0mSxCe9wxzpHUavUvCtjBgi/K5eG329YgO0pOp1NI9b6Jq0Ehdw9bp4m81BdWkP5We7\nsE7b0GiVrLgrgUTZAOOHX6avvQ0AbUoqIRvvxz+/ENlNbqSjD/ajcEU8F093oFRdf193uVJJ4fce\npTp3MZ3vvUfscB29v/k3dFnZhD/+BJoY1zahsc+OM9y5B+tEK3KFlpDEzfgbcl16jGuRSQuofsDV\nU2K3Os3WOd7Nr8tfwmq38kz24yyNLHRhdPPfxOwk/3zulwTXpRE8HM3GbTkkpdwebRxdrba8l+MH\nGllxd/KXNrf5IjFF717TM3bqOkboHZxi0+oU5A73d2ZzShIfdQ5SbBolRKPi2xkxhGhcN+3cOm7h\nDw09ZAX781Ra9Ne+brc7qC3ro/RsB9NTNtQaBfmLI0icaWfiyGFsg2aQyfAvKCTkvvvxS01zSVx2\nm4Ozx1spWBpPQPCNX8y0NQ5yetcZUgbOEWrpAZmMoLvvIewbD9/QbMKVSJKEZaSK4e79SI4ZtPpU\nQuI3o1S5Z03GXFP0Yp9QN4rXx/I3Bd/h38pf4pXaN5HJ5CyJyPd2WD5BkiTeaHiPSdsUAYlDMBzN\n3qNneSZuLYFqcQd6oz6bnk/LFrXvniJJEt3mKapah6huHaKpewzHp6VYhy928d0Hs8lNDnXb8R2S\nxPttA5QOTRDhp+Zb6THo1a49pScF+hHvr6VudIp+ywyRukvJ1OFwUlfRR2lxB1MTs6jUCpYWhhE/\nUc/E+28xPDmJTKkkaM3dGDZsRB3p2sdGfdZ+3le9hmN2A2tYfeO/V3oYfs+sYf87ofgPtpE3VcbY\n0U+YOHeW0G9sIXjNWmTKGx9Lh22K4a6PmB6rRyZXERL3IP6hhV6bmRRb1c7BFdtNBmuCSAtOodRU\nSYmpgkh/I1H+YoexCwNlHOw4QmpwEv9j83/l9MU6ZMN+HHXsJysiBX+V6DR3vcZGpik+2kpsooG8\nJVefZvS17VPnoymrjYrmIQ6e72TnoQYOnOuktn2EoTErCZGBrF4UTX5qKFWtw5yp7kcug7S4YJef\n4G1OJ2+29FM5Mkmcv5ZvZ8QQoHL9/ZpMJsNfpaByeJIZh5PMIB31VX0cer+G5loTkiRRkOHHEupR\nfPIO1sZ6ZCoVhvvuJ+p7P0B/x/JbviP+KovNwq/LXmLCNkH7aDdrYopQyG98gW6AXktyRhj1nTYa\n5YkEx4ShG+5iqqyUydKLqIwRqI3Xf8FsGWvA3PI6tuk+NP7xGFN3oNUnuz25z7VVrZiin4MrpzRb\nxzr49/KXsDntPJu7g4Jwzz6L8SWjM2P887lf4ZAc/NMdPyYrPpHTx5r55MM6BiPamEjt4Lm8Z0gJ\nTvR2qPPChZNtXDzdwT0PZs7Z+11M0d84pyTROTBBVcsQVW3DtPaMX978JVCnIjcphNzkUHKSQtB/\noaHJyLSd//HyOYbGZyhIDeM7D2ah07pm6nzG4WRncy8t49MkB/rxVFq0W9u7OiWJf6vpxDQ9S2rV\nCFaTBYVCRn68RNRABdaqcpAkVGHhBN97H0GrViPX3PoagCvH4uR3la9SPVRHmDaEQeswT2RuZVX0\nzS/CnrbMsm9XFaa+CRKiNRQ46pk8cwIkCf/8AsIfvbQt7lVjcsww0n2QqeFykCkIjlpLoHEFMpln\n1rDPNUUv7uDn4Mo7HoM2mNTgZC6ayikZKCcmIIpID9VC+hJJkni55nV6p/p5JO0hskLT8ffXoNYq\nqK/sQzOppz+0iXPmEiJ04WK24xokSeLovgacTidrN2Vcsfb9M+IO/vpMWGYpazSz/1wHrx1s4PCF\nbuo7RxmZmCElOoi7CqLZtjaVx9alsTTDSJwxAM1XSjzjo4NYlGS4dHHQOszFBjOZ8Qb0/re2UZfF\n7uCVxl7aJ61kBfuzIy0KtRuTuyRJtNSZ6Kg1MRasZtbm4E7lEItGz6EuOYp9oB9NYhLGx57AuONp\n/FJSb2pq+3od7DjKqd6zZBrS+O6ipznefYYh6wh3Rq+46TtllUpBWk4Ew+YpOjomGNTFkvfYvUiD\nA1hqaxg9fhSndRptUvLXyuqsE22YWv7CzGQHKr9IjClPogvO9OiU/Fx38CLBz8HVJ8QQbTCpwUmU\nmCooGaggNjCaCN3ttaisuO8in3SdINOQxrb0hy5NAfprmJ62Ybc76W4bZUViIa2yBi4MlKGWq0gO\nShCr66+iv3uMygvdpGUbSc2a+2JIJPgrczolWnvHOVHRy65jLbz5SRMljWa6zVP4qZUszQzngZUJ\nPH1fJuuWxJIRb8AQqJnzb9LfX4Pd5mBFdiQOp0R50yCnq/oIC9ISe5PdzSZsdv7U0EOvZYbC0EAe\nTYlE6aaWrpIk0dY4yOEPaqkp60UxaiHG0sIdJfsJbirBMTqCf94iIp5+hrCHt6KJib3pVfHXq364\niZ11uzBogvmbgu8SpNEzZB+kbrCJdEMqoX6Gm35vhUJOSqYRq8VGR8swbT0zZD/5IMHpyVhbW7BU\nVTJ+6iQKnQ5NXDySZGe052NGuvchOWbRR6wmLOFhlGrPb24kpuhvkrumNJtGWviPij/hlJx8N+9p\ncsOyXH4MXzRsHeH/PfcrQMY/Lf8xIdpLH8jPxnnaMstrvynGP1DDXdvj+M/qVxidGWN1zEq2pT10\nU8/ZFrpj+xuoq+hj8+P5xCbOfYITU/SfG5ucobptmKrWIWrahpmy2gFQyGWkxgSRmxxCXnIoccaA\nm7q4/OpYlzSY+eNHtVhnHaxfEsuj96SivIE775EZG39s6GF4xsYKYxAPxodftSPcrZAkiY6WIS6c\nbGdwYBKVc4Z8TTeG7gqcE+M45HKmFi0m7+EtLi8rm8uIdZSfXfhXpu1Wfrz4ByQFXaoUGaSfnxz5\nFYXheXwn76lbPo4kSZSf6+LssVbUGgUbv5lLVJQ/I4cOMLz/I6SZGdSxUSiKgpHCZ1BqQglN2ILG\nP+aWj32zxCp6H5NmSOEH+d/iPype5qWqP/O9Rc+QE5rh7bDcSpIk/lL3DlbHDE9mbruc3L/IT6cm\nLSeC+sp+HCYNf7fkeX5b+TIne4oZsY7wrZwn0Srd82xvPrLbHLTUmwjQa4hJuPHtSG8ndoeT1t5x\nqlqHqGodonNg8vLXQvQalmQYyUsOJSvBgE7r+tPikoxwYsKX8e/vVfFxSTftAxP81ZZcggOu/fc8\nMD3Dyw09jNscrI0OYX10iMtntCRJort9hPMn2zD1TqC1TbBM3o6+pxpmZ8DPj6D77ueNqAxG/QLI\njohy6fHnYnfa+WP1X5i0TfFo+pbLyR0gMyyVmIAoKgZrGLGOYtDe2udAJpNRuCIe/0ANRz+qZ+9b\nlax9IJP0Bx9CX1RE319+i7WiBd7uQ50TR+iOrWj8fXdjKTFFPwd3TmmG+oWQqI+nxFROiamCxMA4\nwnXuK6nxtpM9Zznec5qc0EweTn3gSyeoL46zPkhLTVkv05ZZCgoTWRpRSNdED7XDDdQNN5IXli2S\n/KdaGwdpqjGRsziGuMRrdwq73aboh8etXKg3sbe4ndcONnCsrJem7jGmrDYyEwysLYzl8fVpbL0r\nmcK0cKLD/FEpXTPNfKWxDvBTUZQbiXl0mqrWYc7WDJAcrSc06OobyHRPWflTQw+Tdieb4sJY64bk\nPjw4xaH3aygt7kRu7qNwtpLU3tNoRnpR6oMI2fwQkd95jsD8AuxqDfVjFlRy2S3vlHe93m36kHJz\nFUsjCvhGyv1fO3fMTNupHKxBJVeREZLqkmOGGgOIig2itdFMc60JjWoMmeNjnNGTKJPDkE/6MdvU\nzfiJ40gOB9qkZLeuPZiLeAZ/k9x9QgzzCyUhMO7SwjtTOYn6eML8Fl6SH5we4vfVf0ajUPN8wbP4\nKb98QvviOOv81fR2jtLbOUpyRhj6QB1LjPmMzYxTM1RPqamSzJA0USsPFB9rYWxkmrs3puOnu/bi\nrYWe4G12J42dIxwt7eHNI028e7yV8uZB+oYsGAI1rMiOYPOqJJ66L4O78mNIjQ1Cr1O7ZX3H1cZa\nqZCzJCMcnUZJWdMgZ6r78VMrSY7Wfy2O1nELrzT2MuNw8s1EIytuomnMXCRJoqqkh0O7a1H2tlIw\ncYHEgQuoJwZRR8cQ/uhjRDz9LXTpGZcXl0X4abhgHqNr0soKYzBKuXvXxpQMlPN+yz6i/CP4/qJv\noZRfSqJdpkneOtKEVqMkMzyWUz1n6Zrs4e7YVS57lKcP9iM+xYDDUkpEcDGSYxKdIZ+IgqcIvmsD\naqOR6aYmLJUVjBefRhEUhDom1uPrhUSCv0meOCGG60KJD4ylZODSnXySPoEwv+vr2zwfOCUnv6/6\nM+bpIZ7IfISU4KSvfc9Xx1mjUdBcZ8bplEhMC0Muk5MXlo1CrqBisIaLA2UkBMYtqHG6UZbJGU4e\nasIYFcjiooTr+pmFmOAHR6c5VzvAh6cv3aWfqOyjuWcM66yDnMQQ1i2J5cn16XzjziTyU8OIDNHd\n0LPvmzXXWMtkMlJigsiID6aieZCSRjMDI9PkJYVejq1+dIrXmvpwIvFYSiSFYdff7vV6TI5bObS7\nlprSXpLGa8nqO4FqegxdVjbGHU8T/ujjaOPiv7ZwTimXYZckGscs6JQKEgKuvUXszeqfGuC3la+g\nlCv4YcH3CNLomZy28fbRZl7ZX0+3aYozlb2kRAcTEAD1I02E68KIDfz6jns3wz4zwpRpN0G6NhwO\nNWUVGZhG0khKj0ShVKCJiyd4zd0gk2GprWHy4gUstTVoYmNRGm5+wd+NEgn+JnnqhGjUhREXGEPJ\nQDkXTRWkBCUSukCS19HuU5zuPUd+eC6bk++74tXtV8c5yKCjsXqA/p5xcgqjUaoUyGQyUoOTCfcL\npcxUxYWBMkK0Bpd9mOeb2vI+utpGKFwZT0T09Z38F0KCn7U5qOsY4eOSbt74uIn3T7ZR2TJE/7CF\n8GA/VuZEsuXOJJ66N4M7F0WREh1EgJ/KK3dV1xrrsCA/lmdH0tI7RlXrMOXNg+QkhtBisfJmax9y\nmYwdadFku6Af+xc11Q6wb1c1I0MWcrV9xLYeRxEcTNzf/R+EbHoQtTFizvGK9NNw1jRKr2WGFcYg\nFG4YW6vdyq/L/8D47DjP5GwnJSiJ4+W9/Pt7VTR0jRIRomPzygTqO0e5UGfi7sxMKsYuMDIzyqro\n5bf0/y1JElNDZZjb3sY+M4xfUCahiY/T3ianq3WE7o4RktLCUKkUyJRKdFnZ6JevxD46gqWmmrGT\nx7ENDl4qq9Ne/fGLq4gEf5M8eUI06sKJDYymZKCCkoFyUoOTr7gQbT4ZmDLxx+qd6JR+PJ//LJqr\nPDv/6jjLZDIkSaKzZRiNVklU3OdTkzEBUaQGJ1FurqbEVI4MSA12/25RvubkwSas0zbWPpB53W12\n52OClyQJ08g0xTX97DnVzs5DDZyq6qe1dxyb3Ulecigblsby5IZ0HlqVRF5yKEaDbs79ADzhesfa\nT6OkKDcSi9VORcsQJyt7qZuZwT9Qw7fSY264TetcZqw2ju1r4OKpDmRyuCvNTmDxbuR+OuL+7h/Q\nxl+5h8FXqeRyrA4nTeMWgtQqYv1dm8QkSeK1urdpGm3lnrjVxMkW8e/vVXGisg+ZXMbWu1L4zoNZ\npMUFk5du5HhpN1XNo6TG6WibbiIrNOOmF9s5bBMMtr/HhPksMpmS0PjNBEWtRaXRkpptZGLMSmfr\nMG2Ng8SnhFzuYKfw9ydw2R34pWdg7ezEUlPN6PFjyGSgSUxEpnBfBZBI8DdhZMYGKjnSrPsbRnwm\nQhdOdEDUp8/kK0gLTibkFleFesulHadeYcg6wlPZj5Goj7vq917pZGgI1VFV0sOw2ULukhjkX3jW\nF+oXwqKwbGqG6qkYrGHYOkpOaAZyD+0c5W1DpkkunGonITWUrPzrn8GYTwneKUmcquzjt7tr2HO6\nnerWYUwj00SG6liVF8XDq5N48t4MinIjSYrS4++iXeJc5UbGWi6XsSgllCEctHWOYe23kB8SyOr0\nue+kb0R3+wh736qkv2ccY3Qg992hY3bXn5ApFMT++O/QJiTe0PtF6NScHRijf3qGFcZgl5bsHe8+\nw8ddx4nTpCJ1LuKtI82MTc1SlBvJD7cuIjc59PL5IC0hhECtgnM1A4yb9Tj1vdjlUxQa8274uFMj\nNZhb3sBmHUAbmIQx9Um0AZ/vwSGXy0hKD8MpSbQ3DdFUayI6PpiAwM8TrCosnKC77kYZbMDa2MBU\nRTkT58+iDAlFHemebpkiwd+EVxp7OdBqIsfgj07pufrrSH8j0QGRnz6TLyfNkHLLpR/ecLjzGGf7\nS1hizGdT0oY5v/dKJ0OlUoFlcoaejlFCwv0JCf/y3vQB6gCWRBTQNNJKzXA97WOdLArPRiX3rRO9\nO5Sf62SgZ5zla5IxhF3/nv3zJcH3mCf57fvVfFLag83hpCAtjPvuiGfHvek8sDKRnKQQwoP9ULh5\ngdetuJGxliSJg91DlFmnCY3yRzFuo751mJbecRalhKK+zhmaK7HbHRQfbeXkoSbsNgfLVieyapEO\n83/8K5LdTsxf/xBd5o3vw6FRyBmftdM8Pk24VnW5Cc2tah3r4I9VryM3pTNcl0bnwCQJkYE8/3Ae\n65fGof1KMx1/fw0GnYrgADUX6wdhLIoBdQV3xi2+7mobh32a4c4PGe8/DoAh9j4MsRtRKL8+MyGT\nyYhNMOAfoKa1wUxTzQAhYf4YQnVf+h5tYiJBd61BsjsuPZ8/f5bppka08Qko9UG3MEJf55IE39jY\nSFlZGcnJyYyPj6Nx017Dt8KVJy+5TEbl8AStE9MUhurdvlr0iz5rSFNiqqB0oIJ0QyoGrWv/KNyp\nd7Kfl2teJ0AdwA/yv4VaMfcK76udDPXBflSX9mCZnCEr/+t1txqFhmWRhfRO9VM73ED1YD15YVlf\nW1pj9F4AACAASURBVKW/kDidTo5+1IBcIWPNxowvzWxci68n+Bmbgw9OtfGHvXUMjllZkh7O327L\nZ01BDAmRgfhp5s+2Hdc71k5JYk+HiTOmMcK0Kn6wKIF1BTH0mKeobh3mfJ2J9Lig66qX/9/svXeY\nVGW29v3blXN1VXV1zhGabnKWICAmzIooZh3DODNnznHOcc47cyY7Z4LOOOqoM+o4ZhATKmZRTGRo\n6JwTnauruyvnvd8/GhDoBqoBhXm/776uvoCmatfeu5793M961r3udSQcvR7eWVdBe5OTBKuWFVdP\nJjtRoOtPf0D0+0m57Q6M02ecyOUBkKRVsbVvmP5ghNl280lHp56wl/s/eQVvbSlhZxJatYLVy4u4\n4dzio5YSHrjPOSkm1Eo5VU0uYkOJyC29lCTlH/czA+4mHM0vEfZ1otKlk1RwPVpzwXGvxZ5ixJ5i\npLneQWNNHxqdkqTUw7UwMqUKfWkZxlmziTgc+GuqcX22CYXFMu4dk2PhpAn+mWee4fHHH2fz5s1c\ne+21PPjgg1RUVDBr1qxTdpKnAqdy8rINOxFVCmrcIZzBCKWWE3O0OlGk6pNJ1tkP2tpOsBaQoD7z\nST4mxni84p8Mh1zcMmk1mcbjOzwdbTLU6pT0d7vp6hgmO9+K3jh6ICtkcqYnTcYfDVDlrGVX3x6K\nLAWY1adWdXymYF/rIDV7epgwOYXcwsRxvfdMJvjKFid/eWUve5ucWI1qbr94EpeclfsvReqHIp57\nHRMlXmntZbfTQ6pOzXeK0zGplKgUcmaXJCMThP0Wt70kGFRkp8RngyqKEuVbO9j4di0BX4TS6Wmc\ne3kpOilE5/2/Jzo0hH319SQsXHRS16hVyHGGIjS7A6Tr1Ni1J+6z3zPo5Tcvf4qrLQ1BVHHOjAy+\nd0UZhRnH7sR36H0uyDATikZoag/S2hlgUVkWGuXYO3piLMxQ5/sMd32IJEUxp56NLfsS5OPoYplg\n1ZGZa6G1YYDmOgexaIz0bMuo85UbjJjmzkOTm0fE4UCdkYkmZ3Q10YnipAn+vvvuY926dbz33ntc\nccUVzJ8/nwceeICVK1eespM8FTiVk1f3ww9i/uQDhmYvoNEbRCkTyDF+cyUhYyHNkEKSLpFdfXtG\n6r8thWc8cb3ftpGdfXuYkzKDc7OXxPWeY02GGq2Sxuo+YlGRvOKxffsFQaDEWoxWoWGPo5odfbvJ\nMKaRpBsfAf4rYPsXbQw6fCxcXnhY7i8enIkEP+QJ8cx7dbz2WQvBcIzz52Tx3cvKyLD/a/scHO9e\nh2MiLzX3UDPsI9ug4ZaidPSHtHsVBIHiLAu5qSb2Ng2wva6fYW+ISTnWY6Ym3MMB3nutivrKXrR6\nFedeVsLkmZkQCtD5p/uJ9PZgvfhSbBesOCXXmahRsq3fxWAowszE0bX8x0MwHGX9F608+XY1QZ8K\noy3IT66Zx4LJaajiSI0eeZ9Lsq3s7WlgqF/LnpYeFpRmjCqLDHo7cDS/SNDbglKTRFL+avSWSScU\nwOmNavKK7XS0DNLW6MQ1FCA73zbmzpoqORnzwkWnlNzh2AQflypJr9cjO6QeUiaTHfbv/xdhXnw2\nks/Lkk/fxqSU82GnkwaX71s/j5nJU7mxZBXBaJBH9jzJPk/Xt34O8WKfp4v32jaSoDZzVeElp+SY\nmbkWEmw6mmr78XlDR32dIAgszVrEbaXXI0oif6t4hi+7tp6SczhTEA5FaW0YwGzVkpT67Te1OJUQ\nRYmNuzr5n6e2sqOun/x0E7+8ZRYrlxSgVo1M7GIohHvbFiLOgdN8tqcWwViMZxq7qXf5KTLruKUo\nHe1RyGxyvo2f3TyLrCQDn+3p5vcv7sLpCo56nSRJ1FX0sO7pnfR2usgrtrPqtllk5dkQQyG6H3mI\ncOc+zEuWYbvkslN2LclaNSUJejp9IVo8gbjfJ0kSW6t7+ckTW3l3azuSIohtYiP/e9PZZCad+NgW\nBIE7V8xAbuumzxHjkdcqiURHhNKSGGWo62P6G58hGh7ClDSflOLvoNKdnNWsKUHLFTdMJyXdRGNN\nPxvWVRAKRk7qmKcKcUXwu3fvpqamhtraWmw2G4888gjJycksW7bsWzjF+HEqoxN1ZhZSTyfB8t0U\nFRdQrTJSM+yj1GL4VkV3MFIaZtNY2dW/l/L+CiZaizCpz6wJPiJGeWzv07jDHm4rvZ40Q/wPzfFM\nQQQB2pucKJRy0rOPXTqYqk+myFJAhaOa3f0VRGIRiiz5/0+U0TVU99HaMMCUWZmkZY1feHmmRPDt\nvR4eea2CLyp6UCnkXLu8kOvPLcZ8SJ5ZEkW6H32YofffZfjjD/FW7EX0+ZCbzMgNZ2Z0L4kxPP1b\ncXa8jdaQSIzRu23eSJSn67vZ5wtSajFwbX4qyuOU9Ok1SuaVpjDkCVHZMsiW6l6yU4zYE0Z2FAP+\nMBs31FG+dR8KhYzFFxQze1EuSqUcKRql52+P4q+twThrNsk33TrKvCYSFSlvcGAxqk/IqteqVrJj\nwI07EmV6HIY8HX0eHl9fxUc7O4nGRFTpbWgLKvmPBdeTqBuf/8eYlsAqPftkO+lzhnD0yely+Jic\nJTLQsoaAqw6FyoI97xoMidNOWc92hVJOYUkSQ04/+1oGaWtyklNgQ/UtpJhOeot+4cKF1NTUMDw8\nTFNTE9OmTeMHP/gB8m+wtu9EcConL0EQSJszg96PNiKrLCdz6VKq/RFa94vuvm0Fb4YxDYvGwu7+\nvex2VFBiK8Z0GloTHg3vtHzIHkclZ6XNYWnWwnG993jEY7HpqdrdjbPPS9mMjOMKyyyaBKbYS6l1\n1lPprKHf76DUNvFfvhvd5o1NeNwhllw4AfUJNEQ53QQfCEV5ZdOIC9mwN8y8Scn821VTmJA1Om85\nsG4tnq2b0RYWoUpNJdjcNNKb+5OP8ZbvIub1IjcYURjPjGcg4GrE0foy/uFqxJgfl6MOXUIJMsXX\naT1XeKQjXF8gzMxEE1flJcc9jyjkMqYVJmLWqw5a3CrkAqpglHdeqcDR6yUt08xFq6aQljWSt5ZE\nkd5n/oF31050k0pJu+t7o+qx+wb9PLhuLx/v6mTQE2RGcdK4r92kUtDuDdLsDlBk1mNWjT02vYEI\naz9p4tn363C6Q0wttKEu3IXP0MzqiVcwKXHCuD/7aGNar9KxO/w+hnAmbZ0hujprKLB2YLTPIDH3\napSaU28kJpPLyCu2Ew5GaW8epLm2n4wcCzr9iWsT4sFJE/z69eu57rrruPjii7nwwguZNm3aGUfu\ncOqNbkyJZsJaA97t27D0diKfM496l/+0iO4AMo1pJKgT9kfylUyyTTgjPNnb3B08X7sOm8bCHWU3\nHvSLjgfhnm7CjfVIVvtR76dcLiMYiNDZNoTZoiUx+fjXrFfqmJkylRZXOzWD9TQOt1BmLzmuov9M\nhXs4wOZPmknLSmDyrBNr03m6CF6SJHY3OHjo1Qpq2oZItmj57mWlnD8nG41q9Dzi+vJzBl5/FVVq\nGhk/upeERYtJWLIMVUoqiCKBlmYCtTW4Pt2IZ+d2oi4Xcr0BuWn8OeCTRSQ0iLN9Pe7ezxBjQQz2\n2egskwi46gl692GwTkEQZDiDYZ6s62IwFGVBcgIXZ4+/3asgCOSmmpiUY6Wi2Ul54wB7a/swxCTm\nn53H4vOLUe/3A5AkCce6tbg/34QmL4/0H96DTHX42N9c1cPDr1XidAfRquW093iYUWzHdAKEZFYp\n2O304IvGmGI7fNEVE0U2lXfx19craex0kWrTceclk3BbdlHrrmF+6mwuzDt2Ke3RcLQxnai10ujY\nxVL7PhzDCTQOWEFXwtwZZyMbx/w0XgiCQGaeFZVaQUv9AA3VfSSlGjElfHP6rZMm+IcffpjFixef\nkaVxh+KbcLKLWZIIdXfjr6qkKMlKT1I6DW4/KplA9rcsugPINKaToDId3K4vTZx4Wkk+HIvw6N6n\n8UZ83FF2I8n6+COAqNtNx+9+g+OTTfirq9DkFaAwjb3Fl2DVUbmrE48rSMnU+AwjVHIVs5Kn0h8Y\noGawnoqBakptE9Apv50uWKcSlbu66O4YZuZZ2SQmn1jUejoIfmA4wFMbanh7czvRmMhF83O485JJ\npFjHVisHGhvo/tujyHQ6Mn70Y5T7Pb1lKhWarGxMc+aRsGw56vR0JEki1NZKoK4W12ef4tm2lejw\nMHKdDrn52Orrk4UYC+Pq/Qxn+xtEQwOoDdnY81ZhsE1Frc9AIfPjHapHjPkZVmbzVN1Iu9fl6TaW\np9tO6twi3jDuBidDoQhuIGpUs3Rh7mHEPPjuBobe3XBwkSTXfT3mA6Eoz7xXy1tftaGUy7h1xUTm\nlqSwtaYPly/M7InJ4z6nBJWCJpefZk+ASRYDhv2CwfqOIR55rYovK3tQyAWuWpzPrSsm0hqs5p22\nj8g0pnN76Q0nvLs21piWJAnfwE6y/Y1YFBIZGdDjyqCyzY8kwcTjpPlOFoIgkJJuxmLTjZTRVfdj\nNGtITPpm5umTJvhXX32VBx54gI8//pj169fz+uuv8/rrr3PllVeeyvM8aXxTVrW64gm4t3xFoLKC\nGcuWUB2GmmEfWQYNNs23HxFmmTIwqQzs7q+g3FFJqW0iBlX85R2nEm82v0els4bFGWexKGN+3O+T\nRJGevz1KeF8H+vw8Ai0tuL74DEkU0eQXjNpKVGsUDPR76e4YJiPHgvEYLTYPhVwmZ6q9lKgYpXKg\nhp37bYD/lXwFJEnis/caiEVFllw4AfkJtjT9Ngk+GhP5YHsHj79ZRfeAn4nZFv595RRmTkhCfhSB\nbmTAQeef70eKREj/wb+jyckZ83UypRJ1Riam2XOwnHMu6swsECDU3kagvg7X55/h3vwl0aEhZBoN\nioRTR/aSJOEfqmagdS1BdxNypRFr1kUkpJ2DQvn1BJ6aVYazp4o21yDrHDb8MYmLs+wsTB2djogX\nsZjIzq/a+PSdOqLBKEtnZ2JPNVHZOsjmyl6SLFrS7QaGP9vEwMtrUFhtZPzXf6Mwfz3W23rd/Onl\nPdR3DJObauI/r51GcaaFZIuW6rZBatqGmJxvwzLOCg1BEDAo5ewd9BKKiaQqFDz7fh3rPm3G7Q+z\noCyVH1xRxqRcG12+Hp6seg61XM2/TbvjpAKUI8d0NOxioPUVvAM7kck1vOMLsD0S5j+WXsbexpFd\nD7VSTkHGN//8W+160jITaKkfoKm2H5lMIDXj5P0CjsRJE3xaWhorVqxg/vz5zJ079+BPevrxa5y/\nTXxTBC9Tq1Elp+DZugWxtZnJ5y+nfNBH7bCPMovxqArYbxLZpkwMSj3l/RXscVRSdhpIvmm4lTX1\nr2PX2vhO2Q0oxrEKH/rgPVybPkVXOpmpv/8NsaR0AvUj1o7e8l2os7JRWg/Pk+n0KuorewmHYxRM\njH+nQBAEJlgLMakMBxvVpOiTSRnHbsPpRF+3mz3b9pE/0U5hyfijqwP4tgi+qdPFQ69VsLWmD51G\nwU3nTeDqpQUYj9HSVgwG6fzT/UQHBki67gaMM2fH9VmCQoE6PR3jzNkjZJ+TiyCTE97XQaC+DveX\nn+P+8nMiAwMIajUKy4n3Uw/7e3G2vYbHsRVJimFKXkBizpWodaN3lAwGLQ0+O68NpRKRBC5P1zEn\n9cTH25DTz7uvVNJU24/BpOaCK8uYNDWN0jwb6Yl6ypsG2FbTh7qpCtU7a5EbjGT+13+jso+UloqS\nxAfb9/H3t6rxBiJcMDeL2y8uOfidCIKAPUHL5qpeBt1B5pWOX1luUyupGnBTUdXPB5+0sK/fS26q\nke9dUcayGRloVAr8kQCPlD+BN+Lj9tIbyDHH539/NBwY05Ik4RuswNG6lmhoAI2pkOSC62gNBakf\naiLPmsEFUyaxs97BrvoRQWG8vgInA6NZQ06hjfYmJ60NA/h9YbLyTnwMjoWTJvj09HR6enqoqqpi\nYGCAtLQ0Zs6cecpO8FThm2w2o0pJJTIwgL+qErNGRXLpJCqHvLR4/KdFdAeQY8pEr9BR7thP8okl\n6Mdh1HAyCMXCPLr3HwSiAe6cfDN2Xfx97AMtzfQ+9QRyk5mMe36E0WomarRiWrgIMRjEX1WJ+8sv\niHk9aAuLEBQjeUWDSU1bo5PufcMUl6WMW2iWbcoky5hBuaOSnb3laBQacs3xtVo9ndi1pQNHr4f5\nS/MxW048LfRNE7w3EOGljxt54aMGPP4Ii6ak8YMrJ5OffuyoRRJFev7+GMHGBsxLlpF4gmVcgkKB\nOjUN44yZJCw/D01+PoJcQairi0BDPe6vvsT12adE+vsRlEqUVtsoRflYiEX9DHd9xOC+DcQiLrTm\nYpLyrkFnmYhwlEVtvSfAM3X9IAgsl31JTqwavXUKwjjzv5IkUV3ezYdvVON1hygqTeaCK8sOs0ZN\nS9QzvdDO0N5KppW/TUyuwPaDezDmjIxtly/M4+ur+LS8C6NOxfevKOPsaemjxKr2BC0N+4apaRti\nYrblqO5xRzvPvU1OPvu0DXevD4VSxo3nFXPducXYTCPHESWRp6tfos3dwfnZS1mYMW9c92Is6PVq\nPK4hnO3r8fR/hSDIsWZeSELaOcjkahK1Vj7v2own7GFZ7jzK8mxsr+1nR20/qTYd6d+C34JWp6Jg\nYhJd7cO0Nw8iSRIZpzBNcNIE/9BDD7F27VrMZjM+n481a9YwPDx8xpH8N91NTls8Ac+2LfgqKyic\nM5ug3nhaRXcAOeYstAoN5Y5K9jqq95P8N59jfr3pbWoHG1iWtYiz0uKLtgBifh+df74f0e8n/fs/\nRJ2e8fVOiVKJYfIUdBMnEWxqxFdZgXvrFpTJyaiSUxAEAblcoLXRiUwukJk7fiVsks5Oia2IioEa\n9jgq8Uf8TLQWnbFldLGoyCfv1KHWKliwvPCkzvObIviRmuY+Hn6tgsZOF+l2PT+4YjJLZ2TE5aPu\nfOM13F98jm5iCam33XGQdGOiRDAmEhGlcf9EBQHBnox6yjQMy5ajKJqAqNUScDjxtLYwtGM7A59/\nhq+3l6gggDmBKMJhxwjHYgw59tDX+gY+bxeS2o4p82J0SWcRk6mP+tl7nR5eqO1EIRO4qSidHKWL\noLuRaGgYbcLEuL9DnyfEh+urqdzVhVIlZ9lFE5gxPwfFGCkaZX8XSe8+B5LEKylL+LhPQX66mR6n\nnz+9vId9/V5Kc63cs2oqmcfIBadYdXxR0UP/kJ+zyuLTuvQ4fTy5oYa3N7cRiYhYcswYy2xcWZaB\n5pDdzY86NvF51xaKLQVcP3HlKXnmIr5G9tU8SyTQg9qQRVL+dWiMuQePbVDpaRluo2G4man2UtIT\nrJTkWNlW28eO2n5yUowkW7/5+VKlUlBYkkQ0EiMjx3pSC/UjcSyCFyRJko53gNWrV/PCCy8cNLeJ\nRqNcf/31rF279pSd5KmAw+E5pcez242jjumrqabrz/ejSksj7ae/4J8t/bR7g5yfkcii1NPX3vXj\njs94o+kdzCoT351yK5nfYJ/0+sEmHt7zBCm6JP571g9RyuNr8CJJEj1/fwzvzh1YL7qExMuuAMa+\nz2IkwuC7Gxh8dwPEYhhnz8V+7WrQ6nn+sa1IosQNd89DOYYKOx4MBod4bO/T9Pj6mJw4iVsmXXtG\nKuyb6xx8uL6aqXMymbfk+N7ax8JY9/lk0Tvo5/kP6qltH0KlkHHpglyWz8pEIZchSSOEF4iJBGMx\nAlGRQCxGMCoSiIkEojFcXV0MNTQQNSVAXiEhOPg6ucdNYd0emoqn4Dec2Q6OR0KvlHNjQRqZBg2S\nFKOv8VnCvk4sGRdgtB/f4ru5zsFn79cTCkbJzLOy5MJi9Efxow/3dLPvD78j5vOSetfdfBlJ4tXP\nmgGQJJAJcNXZBZw7OzMu5f5Dr+xlb7OTe66eQmne0XfmAqEob29u46Md+4iJEhOzLaxeXkS3FOWN\ntn4WpiRwQeZIiqBhqImHy5/ErDbx37N+eNLCYEmMMbjvHXyDe0CQk5C2FKN97piLhsqBGv5W8Qzz\nU2dz3cSrRs5n3zB/enkPAPdcPYXirH/d1tx2+9FTDXHtF4mieJhznUKhOGMjnm8a+pJJmJcsw/Xp\nRlxvrWf1ZVfyaHUHH3QOkKpTUWg+PWK3c7IWI0PgtaYN/Hn3Y9w26TpKE8ffJep4CESDvFD3CjJB\nxo0lq+ImdwDXF5/h3bkDbWERtosvPeZrZUoliZdejnHmLPqefRrP9q34aqpIWnUtk6amsmtzBw3V\nfUyadmILGavGwj3T7+bJquepGKjmL7v/zl1Tbj6jvAUAGqp6ASgqPfHc+8lAlCTCsa8JeeRPEW8o\nwvY9PVRU9iGKEompBvImJ9GmlvFwTcdBEo8dL34QtFA8ZeSvgTBquQytXIZdJWf2p+sxd3UwuXI7\n7eddymDJlFN7cRLEfD6iQ4NEh4eRwmFQCAg2FYJhZGqUK02otMlH3YofC0qZjMtKMlAFoyPXJchJ\nzLmK3vonGOr6AJUuDbV+bP1SKBjly48baajqQ6GQsfDcQiZNSzvqfBsZdNL54APEvB6SbrwZ44xZ\nzBgO8EVFD72DfgAm5dpYMj097rK8yxflsbfZyeuftzApd3S+WNzvQvfKp824fGESzRpWLS1kelEi\ngiCQLIps7HKyrd/F4lQr4ZiXp6teQhAEbiu9/uTJXZJwdryFf6gSnSkDc9rFKLVj21gDTLJNwKax\nsqOvnMsKLkSv1FGUmcD3Li/jkdcqeOjVCu5dPY2clH+tRWQ8iCuCv+++++js7GT+/BGV9ObNm8nK\nyuInP/nJN36C48G3EcHDiIVm+69+TsTRT+a9P2EgNZMn6jpRyQS+V5KF9TT2pi7vr+TZmjVExRhX\nF106LmV7PHip7lW+6t7O+dlLuTj//LjfF+rqpOO+XyEoVWT/8tcorV9HBseLLCVRZPiTjQy88SpS\nKISsZBobo1MxW7Wsum3WSS02o2KUl+peY1vvLmwaK3dPufW44ruGoSZqBxtZnDH/G20AFPCHee6v\nW7Da9ay85eTTYYJeRUef+5Ao+kBUffQIOxgTOXKCCA0GcdcNEQtEkanlmIoSUNu1CIKATACtXI5W\nIUMrl6ORy77++/4/tQoZqoAf99oXUAw6yVp9HdaSEtRy2UEScm54C+f619Hk5hHq7kIKhTDOnkvS\ndTcg15/6RbQYizBU/x6+wF6QSYh9QSJfOGFIQl82GcP0megnT0GujW9rdawxHXS30N/8AnKlmZQJ\ntyNXHL413N0xzMYNtXjdIZJSjSy9aOJhufYjEfN62feH/yXc003iFVdhvfAittX08dwHdQRCMaYX\nJeJ0h2jv9ZCZZOB7l5eSZIlvO/rx9VXsqOvne5eXMeOQHhBtvW5e/KiB5i43SoWMFXOzOX9O1qhU\nzJe9Q7y7b4AlqRYq+tbR4mpjZeGlnJ15VlyffywMdX2Mp38zKn0Gk+Z+F+fg0S2sD+DADudl+Rey\nPPvsg7/fXtvH39+sRq9V8t/XTSdtHO2XzxQcK4KPKwe/YMECZDIZjY2NeDwezj77bG655ZYzLor/\npnPwByAoFGiyc3B/9QWB+joyly7BrFWfdtEdjFi1FlsKqRyoYbejgmA0yATryeVuD6DaWc/rTRtI\nN6Ry86RrkcVp8yiGQnQ9+AAxl4vUO+9Gm5t32P8fLzcsCALavHxMc+cR7u0hXL0Xv8rMQNRAcroJ\nc5yT1liQCTImJ04CQaBioJqdfeXkmrKxaUdv2UmSxMZ9n/Nszcs0u1r5omsrUTFKljFjXOY+8aJ2\nbw8dzYNMnZtJSvrJLSTe3zfA01Ud7Bxws8fpoWrIS/3+uuUOb5Buf4j+YJihUJRgTEQuCOiVchI1\nSlJ1ajL1GtKUKoZqB+mtdUJMZEZpMtdfNJFlhcksSbOyPN3GOek2FqVamZecwCy7mWmJJkqtRiYk\n6Ckw6cg2aklVCIQf+wualkayL76YpPnzUcpkB8dooKWF3n88gSIhgcwf/xTT/AUE21rxV1Xi2bYV\ndWYmSvvRI7bxIuBqYKDlZULhNmRKHQnp52EyL0COlujQEMHGBry7dzL80QcEW1sgFkNhtY0yjjkU\nY41phdoCgkDAVU8k2I/OUoogCMSiIts+a+Gz9xuIhGPMOCubpSsmHNMBTQwG6XrwAUL7OrAsPw/D\nhZfy3Af1vPFFC3KZjFsunMCViws4qzQVrz9MRbOTzVW9pNv1pMSRc86w6/m0vIsuh4+zp6bjCURY\n83Ejz39Qz6AnxMxiO/921WSmFdmRj2G1m6xVs8PhosXjpdv9JTOSyris4MKTbynbvw1X7yYUahtJ\nBTdgNJnjmveTdUls6vyKPn8/izPOOnge6XYDFqOa7bX9lDcOMKPIju40BmgngpMW2QUCAdrb27n1\n1ltZuHAhO3fuJC8vD9UxBvjpwLdF8ABKqw0xHMZXsYdYwE/R3Dl4IjHqXX4GQxEmnSbRHYBFY2Za\nUhm1gw1UOmvp8vZQllgyrjK2I+GPBHhs7z8IixHunnLbuOrI+196Hn9VFQnLlmNZfu6o/49X/CXX\n6TDOmYcqOZlYxQ66dHkMV9aSn2M8rNZ3vBAEgSJLPjaNhXJHJTt6d2PX2kgzfN2DPhwL83ztOj7Z\n9wVmlYnzspfQ7e2hylnHlp4daORq0g2pcS964sEXHzYQ8IVZumLiCWsNAGqHvLzd4cCuUzHDZqTY\nrKfUamCqzcTMRBPzks0sTLGwNM3K8vRElqXbWJBiYW5SAjPtZsqsBgY63Lz7UROOAT85KUZ+eNUU\nlk/PIFGnwqBUoJHLkcuE4455SZLofeoJArXVmBYsIvGKqw57zwHiEn0+ku/6PmGDDbXFRMKChQgK\nBb7Kvbi/+pKY34+2qHiUX8J4EAk697vQfY4YC2G0z8GeezUaQybKhAR0E0tIWLoM48xZKEwmom73\nCNmX72boow8INDchhSMorTZkR5iAHW1Mq/VZhH1dBD3NCIIcn9/GhnUVI02ELFouuKqM4tKUn393\nlAAAIABJREFUY9oxS9Eo3Y8+TKChHtO8swiecxl/XldBTfsQ2clG/vOaqUzMHhGgymUCUwoSsZrU\nlDcOsKW6F0mSKMo6tjeAUadiwBWgum0IhyvISx820NTlIj1Rz12XTOLCeTnHJEKFTKDD00t/UIFB\nqeDuyZeilJ/cItg/VMPgvreRKQwkF96EQmWMe+5QyZUMBoeoH2omy5h+mCFXdooRtVLOrnoHe5uc\nzJyQhOYodrtnIk6a4O+55x4sFgtTpozkwHbs2MFzzz3HihWnpuXgqcK3SfAA2sJCvOW78VdWoMkv\noKQgh2aPnwaXH7VMdlqc7g5Ap9QyK3ka7Z5OagbrqR2spyyxBI3ixNwI19S/TrOrlRW5y5mRHH8u\n1LN9GwOvv4o6K5vUO787akKOiSLIZEQjsbiOJwgC6oxMkubNpK28BadkQvPuP1FEfGMa5IwHGcY0\n8szZ7HFUsbN/DwpBTr45h8HgMH/d8xR1Q43kmrL5t2l3MClxAgvS56GQyWkYbmGvo4pyRxU2jQW7\nNvGkF3eDDh/bv2gjO99GydQTF0wOhyI809ANwI/mFDJBryXXqCVDryFFpyZRo8KsUqJXylEdskV+\nAJ39Xv76RiWbyruRywVWLS3kpvMnjNsI5eB1bXgL16cb0RYWkXbX3Qe/L0mS8LpD7PvH08RaGxjI\nmM4nHWb2bu+kfGsHTfUOXNoUlEWTUDn2EayuwLt7F5qCAhTm8TXeEWMhXD2bcHasJxpyojbkjDQf\nsY0uYxMEAYXJhK54AglLlmKcPQe5OQHR6yXY2IBv754Rsm+oRwyFUFgtyDSao+/+CQIaUwH+oSr8\nww18tcmHc0BOybQ0zr+89LjqakkU6X3q7/j2lKOfPIXq6Sv429u1uP0Rzp2VyZ2XTBrTajY72cjk\nfBtVLYPsaRqgrddDaZ7tmFUO4UiMXQ0OOvu9KBQCK5cUcPMFE+JSnff6+nm14TnkignoVGksTE1E\nfhLPRNDThqN1HYJMiT1/NSG5juGQi0STmUAgvs5tVo2FL7q24ov4mZM647D/K8gwExMlyhsHqGod\nZPbE5LgqQM4EnLSK/oYbbuD5558/7u9ON76tHPyhCLa30fG/v0FhMpP9q9/gU6h5rKYDTyTGzUVp\np010dwBRMcra+jfY0rMDizqB7065hfRDItN4UOGo5u+Vz5JlTOc/Z3w/blvJsKOfjl//AkkUyf7Z\nr1ClHG6e4Q1EeGBtOY7hAD9ePZ2scVqwNtX289GbNWQFWyjs/BxVSirJN92CtrBoXMc5Et3eXh7b\n+zRDoWFKbRNodXXgi/o5K202K4suQ3kECbhCbja0fMiWnh1ISBRbCri84KKTqmTYuqmZ8q37OPey\nEvInnJhBSkySeKquk3ZvkMuyk1gxKSPuZyQUjvHmV618uH0foiQxc0IS1y4rPGFiB/Ds2kHP44+i\nsNlI/fH/MOQV6Ot2H/zR9zYyufdTPCorOzNXYE0Zsft0DwcZHPARCY8sAmVilALnLjJdtYiCDE/J\nQtTzl2FNNmK164+6tT3iQlfJcNfHxKJe5Eozloxz0ZonnNCCLOzox7trJ97dOwm2tIz8UhDQFhRi\nmzYZMSUDbW4+8iMa4nhcQbZu3Exh9ldEowqUltVkFx3fj0GSJPpffB7Xpk9Q5Rfydu75lLe5MOqU\n3LZiIpPzE497DG8gwhNvVVPVOkiiWcP3rygb9dw5XUFe/rSJnXX9B3+3amkB582Oz5QmGA1x/66/\n0uvrY1baTTR4VFyancScpKPvsoViYTxh7/4fD56IF0/YhyfswRVwMuhuwhcTCcpU+KIhpP3KkEJb\nLrdMuA6zOj6B3F92/43G4RZ+NudHpOgPF65KksRLHzWycXcneWkm/vOaqf8SkfyxcvBxEfw111zD\nb3/7W/LzR8p0qqqquO+++/4/WSY3Fpxvv4nzzTcwzT+LlFtvp8Mb4Mm6rhHR3aQsrOrTm9ORJIkP\n2z/lrZb30cjV3FZ6PSW24rje6434uG/bnwhEAvx41g/jbgMrRaN0/P63hNpaSbntdkzzDhfXePxh\n7l+zh06HF4BEs4af3zwLgzb+exWLibz4t62Eg1EuSOnEt+kjkCTMZy8l8cqVcQuixsJQ0MUDu/7K\ncMgFwJWFF7EkY+ExiaDL28P6pnepGaxHQGBOygwuyjsXi2acEaYo8cLjW4iEY9z0g/koTtAp8cPO\nATb1DFFmNXBNXgpJSaa4xvOepgFe/LABpztIolnD9ecWMzk/fiOjIyFJEn1VTdQ/9youtZ1AZglD\nw2EOnXnM6gjTGl5HJkbQ3/GfJJcVHpaWkCQJjyvIoMPH4IAPp8NHpLGWzIaNqGN+hjVJVCcvJKg0\notUpsdr1B39sdgNGvRt334eEfZ0IggJj8nxMyWchk52aZzMy6MS7exfeXTsJNDVy6MUpk5LR5Oah\nzsunW5bMtvJhwuEY02e4SE3ci1qfSVLhjQjCsb/ngTffYPDtN5GS0/infRn9QYGSHAvfuaiEhKOU\n0I0FUZRY/2UrGza3oVSMGNKcVZZKJBrjvW0dvLulnXBUJD/NxEXzc3hsfRVGnZLf3THvuO1kJUni\nmZo17Ozbw/zUWcxOncfTdc2o5CEWJWvxRXwjJB7x7CfwEUIPi8ePwrVyFSa1GYPSgFFlIBgNUjfU\nSILazB1lN5JtyjzuMcr7K3mq6nkWpc9jVfHlo++NJPGPDbVsqe7db688GeVpcCodD06a4Pfu3cu9\n996Lx+NBFEUsFgt//OMfKSsrO6UnerI4XQQvRaN0/O4+Qu1tpH3v3zBMm84Oh4s32vpJ1aq4c2Im\nquP0fP42sKtvD8/VrkOURFYVXcaC9LnHfc/TVS+yq3/vKPXp8eB4ZS1DH7x/cNFzKNz+MA+sKafT\n4WPp9HQSrXrWfdxAaa6Vf1855bjtYA/F7i3tbPuslfnL8imyhuh79mnC3d0oLBaSrrsRw9RpcR/r\nACKxCGvqX2db7y7kgpyYFCPdkMrdU24lQW1GjIUQo/4R0dQYqHU28EbzO3R5e1DKlCzLWsTyrMVo\nFPE5g3W2DfL22gpKpqay+Pz4FmJHotHl45mGbixqJd+flIlGLj/ueB50B1nzcSO7GhzIZQLnz8ni\novk5qMe5VRkMRA5G5f3dbvq6XITD4sH/lytk2FMMJKeZSE4zkZRiwPX0o/hrqrGvvh7L0nPi/qyw\n2033P/9JuLIcSaHCMeFs2lS5eNwjymqlMkJxYRtZGT0IAri9aQSl2ZgTk7Ha9SRYdWOKxE4GMa8X\n9WAPveVVBFuaCba2EArGqLPPpd+Yi1wMM0looyDXgFjoJSLrxWifiyVjtD7lAIY2foRjzYuEDRae\nSDyHgErH5YvyOH9O1ri70h1AeaODpzbUEAjFmFuSTFOXiwFXEJNexcqz85lXmoJMEFj3SRPvb+9g\n5bIcZpcm4A578UZGom132Is37N0fcXvp9fXjCrvj+ny5IMeoGiFr437SPvTfermSSO8nqCLDpKad\nQ0LibMI9PYQ7Owl1dRJ29FEzw8abvgoUMjmrJ1zF7JTpx/zMmBjjF1v+gC/q53/P+ilaxeggICaK\nPPZGFeWNA0wrTOTuy0uP2j/hTMAJE7zX6+XVV1/l5ptvBuCxxx7jvffeIzc3l5///OckJh5/S+jb\nxOkieIBQdxcdv/4FMq2OnF//FrnRyPq2PrY73Ey2GliVl3JGVB20uNr4e8WzeCM+zslazKX5FxxV\nGLa7v4J/VL1Arimbe2Z8N24Bma+ygq6H/owyOYXsn/0SmeZrYnP5Rsi9a8DHshkZrD6nEFuikZ89\n/hWVLU4ump/NFYviN3QJBiI89+gW9AYV194xB0GMMfjeOzg3vAWxGIaZs0m69rq4RXhDwWGerHye\nds8+sowZ3FZ6PR+1f8qX3dtIUBlYnVyEyd+KJEbQmApJSFuKSju6Rl2URLb17OLtlg9whd0YlQZW\n5J3L/NRZx01xbHy7lobqPi67fhqpJ9AUwxOJ8nBVB8FYjDsnZpKhH7n/RxvPMVFk464u3viihVA4\nRmGGmRvPK47LxjMWExl0+Ojr+nqr3TUUOOw1esmP0dNN2oRM8s6dj9WuP4xUhz7+EMfal9CVTib9\nh/8x7udEkiQ827bQ/+LziIEA+mnTsa66jqHhaiKezQiECYYM1DYU0t19+GQokwkk2HT7I3091sSR\nqN9o1pzU83rove5oHuDTDbX4AzFsqiBlnt3Iu5pAFEEpoFqZjsyiQlanR5cwAU1ePpqc3IPCPfe2\nLfQ++XeCSh3PpJ2HItHOnZdMIv8kKytgpB/8w2/uos/fh1wVojhfT06GikDMjycyQt6ukAen340g\nj1Mng0CWKQOLOgGjyoBCpmVbfwiT2siq/BzMaiNGpQGtYux7LIki4b5unD3riQqDCD1qopuHiPT1\nHbYzcvAaFk7izRw3gVjouHMawAdtn/BWy/tcVXgJSzIXjPmaSFTkoVf3UtM2xLxJKdx20cQTXkh9\n0zhhgr/nnntIT0/nRz/6Ea2traxatYqHHnqIjo4Otm7dyoMPPviNnPCJ4nQSPMDgB+8x8MrLGGbM\nJPWu7xGT4Kn6Tjq8QS7ITGRhypnhluTwO3m84mn6/A6m2su4qWTVKBc3d9jDfdv+RDgW4f/M/neS\ndfGVJUWHh2j/5c8RgwEyf/IzNFlf5xZd3hB/XFNOj9PPOTMzuHbZSPme3W6kbd8gv3lmJ/3DAb5/\nRRnTi+Ivg9r0Xj21e3s4/8pScgtHFp2h7i76nv0nweYmZDo99lXXYJq/4JiTdvNwG09WPYcn7GVO\nygyuKb4CBSK+wUo+bNvIJx4nKuCKBBuFBjthXycAOksZCalnjxnRh2JhPun4nA87NhGOhUnRJXF5\nwQom2cbO+0bCUZ55ZDM6vYrVd84ZN8mIksTT9V20eAKsyEzkrEPG3FjjubXHzbPv19HR50WvUXD1\nkgLOmpx61MnM6w4ekjf34Oj1EIt+HZ2r1PKRqDzNRFKqEeHTNwlt+wLjnHmkfOeOUdcT6txHx32/\nQqbRkv2r34xbMHcoIk4nvU8/SaC+DkGnRLHEiiLPijl1MUb7LARBjt8XHtnmP7jV72XQ4SMaEQ87\nllIlP0j21v3Eb0vSoz1Gw5xDYbcb6e4eZuunzVTt7kYmE5i9KJcpszORyQTEUIhgexvB5mYCPQ1E\ny1wQkwi/0onkioIgoM7IQG5OwFddRURQ8ELaueRMm8iN501AN84+DDCy6BwIOOn09tDl6abT20On\nt/tgGmosHIiyYyElw8OQZbMxIT0Zo9KASWXEoDJgVOmRIeOxvU/jDnv4/tTvMMFaeNhxXmnppdzp\n4YaCVCZaRhaOkiQRcw0TOhCRd3US6uwk3NuNYokFeYGBWJOXyAf9yLRa1BmZqNLSUWdkoErPQK7T\nMbTuJdw1tbjSE3hnaSKOmJsSWzG3lKxGpxw7RecN+/jp5t9iUZv5+dz/OupiIBiO8qe1e2judrN0\nejrXLT8zLa1PmOBXrlzJK6+8AsDf/vY3uru7+fWvfw38/yK7sSCJIp33/55AYwMpt9+Fac5c3OEo\nj9Z04I3EuKUonQLzmdGL3Bfx82TlczQOt5BtyuSuyV+7uEmSxJOVz7F3oPqYq9wjIYkinX++n0Bd\n7ait1mFviPv3k/u5szJZtbTg4MNy4D539nu57/mdyASBn900k1RbfAJFZ7+XdU/vJD07gUuunXrY\n+bg2fYLjtVeRQkF0E0tIuvFmVPbRorUvurbySsObSEhcUXAR8615+Jzl+IYqkcQwINCsSOSNgXYk\n4Jqiy5mmt+Dq/ZRIoA8EGYbEmZiTFyIfo+GPK+ThndYP2dy9HQmJIksBVxSsINN4uKNZfWUvn7xT\nx8wFOcxakBPX9R+KT7oH+bjLycQEPdcXHO4lfuh49gejvPF5C5/s7kQCzipNYeXSAkyHEFgkHMPR\n66Gvx01f18h2u8/7tTJcEEZaYh7Yak9ON5Fg1R38zMH332Xg1XVocvPIuPe/kSkPJ0cxEqbjvl8T\n7uok7fs/PKF0yqGIhl0MdX6I57MtRLcMggimBWeRdM0Nh+0iHYkD+X3nAeLfT/7DTj+iePj0qNUr\nR8jebjiM/I8sY4wEY7z63E6GBwNYEnWcc/FEEo8hIvU69zLY8SZyyYiyOZlgc+vBmvsDEFUaDAX5\naPIL0OTmoc3LR24Ye5clGA3R7euly9t9kNC7fL2EY4cr+80qE+nGVNL1qVg1CRhUI8RtVOoxqgxo\nFSMGRv5glB//bTMAf7hr3mElcqIk8uief1A31MjFeedzfs7SUefTMzjMI80OUmMhVjbvJtLVRaiz\nE9HvO+x1gkKBankGQp4MWdhAgnYJ6oxsFJax2+wmWnXUP/8yzrfWE5KJfHxJPk1qN0m6RO4qu/mw\ncrhD8XzNOrb27uTuKbcyyTbhKN8K+IIR/vDibjodvnHvLn5bOGGCv+mmm3j22WcBuPXWW7nqqqu4\n8MILAbjxxht57rnnTvGpnhxON8EDhPv7af/VzxDkCnJ+fR+KBMt+0V0nKpnsjBDdHcChLm5WjYW7\np9xKqj6Z7b27ebZmLYUJefzbtDvi3po/4D6mnzadtLt/cPCBHPKMRO59g37On53FyiX5RyWebTV9\n/P2talKsOn5200y06vgilbfW7KGrfZirb52J7YhmGhGnk/4XnsVXWYGgUmG79HIs55yLIJcTFaOs\na3iTr7q3YVbquDV7HobAPsL+kdIyudKEwTYNvW0aCpWJpuFWnqh4Fl/UT1FCPpcXrMAWHcLVs4lo\neAhBpsSYNA9T0jxk8tHCp25vL+ub36XaWYeAwOyU6Vycd95BId6B67jurjmYEsYnEmz1BHiqrhOT\nSsEPJmWhO0IcZLcb6e93s6OunzUbG3F5w6TadNxwbjHFWQkMDwa+zpt3u3H2ew/bEdXpVSSnmw4S\nuj3FgPIoKmPv3j10//UhFAkJZP30FygSRkfm/S+vYfijDzAvPpvkG24e17UeCkmM4u7fgrvvSyQx\ngkqXhl42DeeL6wl37kOZlEzKbbejzS8Y13FjMZFhp/+gqO8A+XtcwVGvNSVoDhK+GJOo2NGJKEpM\nnpXBnMW5cQklBzvewevchd42Dd9wMa5H/4QyFqYpeSIlaXqErg4i/X2HvUeRnES4IJvhbCsDFiW9\ncj9dvl4cAedBpTmMGDql6JLIMKaRbkglwzDy53hsY9/d2s6rm5q5eH4Oly/62qxqQ8sHvNe2kVLb\nRG6fuJpob+9INL6fxMPdnUQHB/nk3CvpyJ3AeW+/QGpPB8qkJNTpI9G4Oj0DdXo6AVpw9X6CUmMn\nufAWZMfRrRyYO4JtrfQ8+XdC/b1sW5DK9swYWoWGWyatHpPAOzyd/GHHw5TYivnelNuO+Rkub4jf\nvbib/qEAK5fkc8GcM6sD5QkT/PXXX89DDz2Ez+fj0ksvZdOmTQc7yt18880Ho/szBWcCwQMMb/qE\n/heeOyyneFB0p1Nz54SMM0J0ByPRy/ttG9nQ+iFahYZriq5gbcMbxKQYP539HyRq41NP+xvq6bz/\n9ygsFrJ//uuDkcWQJ8QfX9pN31CAC+ZmcdXi/FEr8SPv89qNjXy4Yx/TChP53hVlceW+WhsHeP+1\nKiZOSeXsC0YL0yRJwrNjG441LxLzeFBn56C/9mqedX2K27OPBQYzxUoB9kfrGlMBxsQZaEwFCEcs\ncBx+J680vkm1sw5ghKRzlqP0teDq/Rwx6kOm0GFKXoAxceaYLULrBht5vWnDfiGegqWZi5hnmcer\nT5STkmHm8uvHF836IjEeqW7HG4lx+4SMMT0YYjIZD63dTVXLIAq5wMKJyRQaNQz0eenvdhPa750O\nIJcL2FOMByPzpFQTBpM6ri3KUFcnHf97H0gimff+BE1Ozujzra6i68EHRnQaP//VKKOYeCBJEgFX\nA0NdHxALDyNT6ElIWzbSllUQECMRnG++wdAH7wFgXXExtosuQVCcXOlTOBRlcOBrwj9A/sFD6rFN\nZg2LLygmIyf+tJwkRulteJpQ3z7cL/ejCYdomX0xy269DKViZDHa5Wilrb2KDmcrPWEnfeowQdXh\n34kmKpAi6kk3pJKVXEh2ciEphuRR5Z3jRSgc48d/30IoEuP3d8xB6xumsXYbO/d+SJpHRn5QR7Tf\nMaItOATyhATU6RkM5RaxJn0iuUqB2yZmjvrOfYMVONvXI1eaSC66FYXq+KVvh84dYiiE4+U1uD7f\nRH2ejo/nmIgJEpfmX8A5WYtHjd0/7XqUFlc7v5j7XyQdJwU54Arwuxd2M+QJcdP5xSyeOnYvgdOB\nEyb4zz77jHvvvZdgMMj3v/99br/9doLBIKtWreLqq6/muuuuG9eJiKLIL37xCxobG1Eqlfzyl79E\np9Nx7733EovFsNvt3H///ahUKt566y2effZZZDIZV199NStXrjzu8c8Ugpckia4HH8BfU03yjbdg\nXrQYgDfa+tjhcDPFauTqvOQzKp+zvXc3L9SsI8bIw3lN8eUsTI+vX3PM66X9Vz8n6hom87/+D9rC\nkfzboDvIH9eU0z8UYMW8bK5YlDfmNR95n2OiyJ/W7qGuY5jLF+Vx8fyc456DKEqseWIbPm+YG+6e\ne9RcaczrxfHyGtzbNyMU6gnNTMBkHnmtXGlEb5uKwTYdher4AqaxSHpZxnyiQ3tw921GEsPIlWbM\nqWejt5aNWiiIksj23t283fIBwyEX6X0TsLTnsei8QiZNi38CESWJ5xu7qXf5OS/DxuLU0W10N1f2\n8Mx7dURFCatCRnpUQsPX34XZoiUpzXgwOrclGU5IXR7zeOj47a+JDDhIvetujDNHtxKOeb20/fJ/\niHk8ZP2fn425ADgeIsEBhjo/IOhpBmQY7bMxpy5CJh8d8fkb6un9xxNEnU7UObmkfucOVCnj84KI\nBwfy+z5viBlzsvH6ju+Rfii8gQhvbPiS2VteQnBHGFgwE//SMrq8PXR5e+j19ROTDhe62bU20hRW\n7H4Ztn4/lqY+VC1dCIdM6/KEBLR5+Why89Hk56PJzol7QTWSJ3cR6uok1LmPtooGPG0dJEddyGLR\nw14r02r3R+PpI5F5RibqtPTD0ghP13fR5Pbz3YmZZBq+/q4C7mYczWsQ5CqSC29GpY3P+2GsOdpb\nvpu+Z/9JtyrAO0sT8ahEZiVPY/WEq1Ad0hxrZ98e/ln9EksyFnBV0SXH/awep4/fvbAbXyDCnZdO\nYvbE09MA6kicVJlcJBIhFAphOORL+vLLL1mwIL687KH46KOPeOedd/jLX/5CR0cHv/3tb7FarSxa\ntIgLLriAP//5z6SkpHDZZZdx+eWX8+qrr6JUKrnqqqt44YUXSBhjm+9QnCkEDyN1se2/+B8kUSLn\nV79BmWgnKoo8VddFhy/IhZmJLDhDRHcHsL7pXT7q2ATA8qyzuST//ONuz0uSRPejD+PbU47tsiuw\nXTTyoAy6g/zxpXL6hwNcND+HyxfmHnVBM9Z9dvvD/PqZHQy5Q/z71VMoO0bbygPYu2Mfmzc2M2dx\nLtPnjb2NFgk4aGx/F5W3FdX+lqb0xjBlLyahZMkoEj4ejiRpg1LPitxzmZtUiq9/C56BHSDFUGrs\nmNOWojWNFuqEY2E2dnxBw1tBFEENg2dVcNmE8yi1xdc7/IveId7bN0ChScdNRWmjdjzKGx389bVK\nZEA2AikqOclp5q/L1NKMcYvHjgUpGh3RYDTUY734UhIvHV1nLEkSPY//Fe/uXQcbpIwHYiyEq/dz\nPP3bABGNMQ9LxnkoNceOwGJ+P461L+Le/BWCSoX9qqsxL1n2jS2y4507REnE4R9gR3sTm/bs5dKd\ne0l2B9lRomPz1K/nXJVMSbohdf9PGhnGNNL0KWM6U4rB4IiAr6WZQEszwZZmYq5DhHQyGeqMTDS5\neWjy8tHm56NMSkYMBgl3dRHq3i926xoRv4m+w/PkMUGGU2UmkAn7DGHKSs9m6uSlKCyjO88diRa3\nn6fqu5iYoOeGwhEjqLC/h77GZ5GkGEkF16MxxL8FfrT7HHUN0/vPf+Boquadsy30WOVkGTO4o+zG\ng+mwmBjjZ5v/l1Aswm/P+mlcLp/tvR7+uGY34YjID64s+7/svXd4XNW59v3b07tm1Hu1JMuy3HvD\ndnDBYHoNLSSEtEM6IcnJS07KCaSckB4CBwLB9BLAgCnGGHfLtrpl9d41vde9vz9kyzaWZVmWSd7v\n5b4uXaPZM3vNnjV772etZ93PfU9IXOhi44LMZuRy+Rma89nZE1M0+jh27NhBWloac+fOJS4ujkcf\nfZT29nYeeOAB5HI5Go2GrVu3kpycjM1mY/PmzSgUChoaGlCr1eTl5Y3b/ictVTse5FodCrMF7+Fy\nQt3dmJYuQy6TURSnp9ruod7hI9eo/bdZj7cFHDzT8BJymZw4lZGj9gYG/UPMTCgZt6zLuWM7zu3v\noZ1eQsodIwZEVleAXz5bybAryJXLc7l6nOAOY/ezWimnMNPM3roBqlusLJiejP4cJhCWBD11Fb3Y\nhr3MnJ8xWk8viVH8jjrs3W/j6v8AVdRFEMBQjK7RhP/Navz7q4m5XGgLC88gg40HQRDINKazMmMJ\nKrmSZmcr1dajVFkbyEieT17GZ5BiIYKedvyOOoKeNhTqeBSqk4NVuUxOXDCRpsM2VBkRWvW1HB6s\nosXZTrohdVyVrm5vkBfaBjAo5dxVnIH6Y1K9jV0O/vByDUiwMi2O226ezbK10yguSyUjx4I5Xody\nCiQ5R1TW/oG34giG+QtI/uztY/7m7r27cWx7G21R8ej5MtH2ffYahtueJ+RpQ66KIyH7SuLS1oxJ\navw4ZEolhrnzUWVk4Dtah/fIYYJtrehKSpBppl5SeqxzOhgN0uXpodZaz96+ct7p2MErzW+wo2cP\n7a5jXFHeTro9TFORib4VWRTJoyyNz+O6mV/g2sIrWJ6xmLLEGeSYsrBozGc1OBIUCpRl/Hd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MO+7W2sr7yI3GQi8zvfQ52RObrPoG+IBw/9DrVczY8Wf2dCilb9zl46f/FT4u0hGi6fxdwVd/Pw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\noF+lAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f26e113a2b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for d in data:\n",
    "    plt.plot(d[:10])\n",
    "plt.xlabel(\"Index\")\n",
    "plt.ylabel(\"Score\")\n",
    "plt.savefig(\"semi-scores.png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Final scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "final_short = read_leaderboard(\"final.txt\")\n",
    "full_pairs = list(map(lambda p: (model_index(p[0]), p[1]), final_short))\n",
    "full_pairs.sort(key=lambda p: p[0])\n",
    "indices, wins = zip(*full_pairs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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kwQ+RjOCFCKya+jaKyxqZnpWIOSEm1OH4VUaKkabWzrAp0pUGN9FJEvwQaTUq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\nbwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f26e11da4a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(indices, wins)\n",
    "plt.xlabel(\"Model index\")\n",
    "plt.ylabel(\"Score gained\")\n",
    "plt.grid(True)\n",
    "plt.savefig(\"final-short.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "full_pairs = list(map(lambda p: (model_index(p[0]), p[1]/(p[1]+p[2]+p[3])), final_short))\n",
    "full_pairs.sort(key=lambda p: p[0])\n",
    "indices, ratios = zip(*full_pairs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>model_index</th>\n",
       "      <th>wins</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>0.532105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8</td>\n",
       "      <td>0.523684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10</td>\n",
       "      <td>0.426842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>18</td>\n",
       "      <td>0.381316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20</td>\n",
       "      <td>0.467632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>25</td>\n",
       "      <td>0.401316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>37</td>\n",
       "      <td>0.471316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>38</td>\n",
       "      <td>0.441053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>46</td>\n",
       "      <td>0.475789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>49</td>\n",
       "      <td>0.488684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>50</td>\n",
       "      <td>0.508158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>57</td>\n",
       "      <td>0.482105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>66</td>\n",
       "      <td>0.556579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>68</td>\n",
       "      <td>0.534474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>72</td>\n",
       "      <td>0.561316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>78</td>\n",
       "      <td>0.445526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>87</td>\n",
       "      <td>0.567368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>88</td>\n",
       "      <td>0.567105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>91</td>\n",
       "      <td>0.593158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>105</td>\n",
       "      <td>0.569211</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    model_index      wins\n",
       "0             6  0.532105\n",
       "1             8  0.523684\n",
       "2            10  0.426842\n",
       "3            18  0.381316\n",
       "4            20  0.467632\n",
       "5            25  0.401316\n",
       "6            37  0.471316\n",
       "7            38  0.441053\n",
       "8            46  0.475789\n",
       "9            49  0.488684\n",
       "10           50  0.508158\n",
       "11           57  0.482105\n",
       "12           66  0.556579\n",
       "13           68  0.534474\n",
       "14           72  0.561316\n",
       "15           78  0.445526\n",
       "16           87  0.567368\n",
       "17           88  0.567105\n",
       "18           91  0.593158\n",
       "19          105  0.569211"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(data={'model_index': indices, 'wins': ratios})\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df.to_csv(\"final.csv\", index=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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zz6FQKCZ9XZ1ODZlMGujww5JeT12h5oquIT/4vI6fHG+Ey83i66uzYDCMVWrfdksm9h5p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\nVOoiIiIGoVIXERExCJW6iIiIQfwLeuQjPFOMyNkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f26d7dc83c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(indices, ratios)\n",
    "plt.xlabel(\"Model index\")\n",
    "plt.ylabel(\"Win ratio\")\n",
    "plt.grid(True)\n",
    "plt.savefig(\"final-short.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [default]",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
